Journal of Quality in Maintenance Engineering最新文献

{"title":"A computer vision approach to improve maintenance automation for thermal power plants lubrication systems","authors":"Nengsheng Bao, Yuchen Fan, Chaoping Li, Alessandro Simeone","doi":"10.1108/jqme-01-2023-0007","DOIUrl":"https://doi.org/10.1108/jqme-01-2023-0007","url":null,"abstract":"Purpose Lubricating oil leakage is a common issue in thermal power plant operation sites, requiring prompt equipment maintenance. The real-time detection of leakage occurrences could avoid disruptive consequences caused by the lack of timely maintenance. Currently, inspection operations are mostly carried out manually, resulting in time-consuming processes prone to health and safety hazards. To overcome such issues, this paper proposes a machine vision-based inspection system aimed at automating the oil leakage detection for improving the maintenance procedures. Design/methodology/approach The approach aims at developing a novel modular-structured automatic inspection system. The image acquisition module collects digital images along a predefined inspection path using a dual-light (i.e. ultraviolet and blue light) illumination system, deploying the fluorescence of the lubricating oil while suppressing unwanted background noise. The image processing module is designed to detect the oil leakage within the digital images minimizing detection errors. A case study is reported to validate the industrial suitability of the proposed inspection system. Findings On-site experimental results demonstrate the capabilities to complete the automatic inspection procedures of the tested industrial equipment by achieving an oil leakage detection accuracy up to 99.13%. Practical implications The proposed inspection system can be adopted in industrial context to detect lubricant leakage ensuring the equipment and the operators safety. Originality/value The proposed inspection system adopts a computer vision approach, which deploys the combination of two separate sources of light, to boost the detection capabilities, enabling the application for a variety of particularly hard-to-inspect industrial contexts.","PeriodicalId":16938,"journal":{"name":"Journal of Quality in Maintenance Engineering","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136095474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Discussing the applicability of the maintenance management framework for asset management (MMFAM): a hydroelectric power plant case study","authors":"Renan Favarão da Silva, Gilberto Francisco Martha de Souza","doi":"10.1108/jqme-06-2022-0038","DOIUrl":"https://doi.org/10.1108/jqme-06-2022-0038","url":null,"abstract":"Purpose The Maintenance Management Framework for Asset Management (MMFAM) is a recently modeled framework to ensure the alignment of maintenance management with physical asset management based on the ISO 55000 series for asset management. In this context, the purpose of this paper is to discuss the applicability of the MMFAM considering the operational context of a hydroelectric power plant. Design/methodology/approach The paper adopted the case study method for the discussion of the applicability of the MMFAM to a real operational context. A hydroelectric power plant was chosen as the scope of the case study due to its relevance since the electricity sector is an example of an asset-intensive industry in which asset management performance is fundamental. To gain a detailed understanding of the organization, data were collected through direct requests to the plant, informal meetings with technical collaborators, a technical visit to the hydroelectric plant and on-site data collection. Then, the MMFAM processes were demonstrated based on this information and the results supported the discussion of the MMFAM applicability. Findings The case study provided a deeper understanding of the processes included in the MMFAM. In addition, the results suggested the applicability of the framework to other organizations besides the hydroelectric sector due to its generic approach and the possibility of choosing appropriate tools to support and implement the MMFAM processes. Practical implications The case study is expected to contribute to the practical understanding of the MMFAM processes within an operational context and assist maintenance professionals and researchers in their implementation in other organizations. Originality/value Although the literature provides different maintenance management frameworks, their practical discussion based on a real operational context is still a gap. Accordingly, this paper discusses the MMFAM under a case study method to expand its understanding beyond theory and contribute to practical comprehension in depth.","PeriodicalId":16938,"journal":{"name":"Journal of Quality in Maintenance Engineering","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136129521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The applicability of advanced technologies from the traditional industry to mitigate ergonomic problems in maintenance activities in the mining industry","authors":"Aparicio Afonso dos Santos, L. Reis, J. Fernandes","doi":"10.1108/jqme-01-2023-0008","DOIUrl":"https://doi.org/10.1108/jqme-01-2023-0008","url":null,"abstract":"PurposeMany advanced technologies applied to maintenance are aimed at data analysis and not directly at the execution of activities. Considering the lack of studies that analyze the use of technologies with a focus on aiding maintenance activities, this study aims to investigate the applicability of advanced technologies capable of mitigating ergonomic risks in mining maintenance activities.Design/methodology/approachA mixed-method study approach was performed in the most important Brazilian mining company, where three groups of equipment were observed: pumps, crushers and sieves. Qualitative and quantitative data were collected, including structured interviews with 60 maintenance professionals for the equipment, and a workshop was held to evaluate the applicability of these technologies in the maintenance activity of this equipment.FindingsIt was verified that the load handler, weight cancelers and automatically guided vehicle technologies were assessed as capable of mitigating ergonomic problems of the supporting the weight of parts and tools and the human traction during maintenance activities.Research limitations/implicationsThe study observed only one company, and the five technologies analyzed here are not yet a reality in this sector.Practical implicationsThis research directs maintenance managers in the implementation of process improvements, in the incorporation of technologies capable of mitigating the ergonomic problems experienced by the maintenance professionals. In this way, it is expected to reduce the number of absences from work and improve the working conditions of these professionals.Social implicationsMining activities impact the local economy and are important in the development of technologies that improve productivity and the man–work relationship. The demands of industries for new solutions encourage local technological development through an approximation with university research and development centers. At the same time, it is observed that these centers can help in the formation of competences to act, either in the implementation of these technologies or in their handling. This university–company integration, in addition to benefiting the mining segment, has the potential to expand the solution to different supply chains, which proves to be a relevant social impact.Originality/valueThis study is pioneering in understanding the use of advanced technologies in maintenance activities in the context of the mining industry (extractive primary sector).","PeriodicalId":16938,"journal":{"name":"Journal of Quality in Maintenance Engineering","volume":"1 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42395751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving the performance of a conveyor belt through lean philosophy and Industry 4.0","authors":"David Mendes, H. Navas, F. Charrua-Santos","doi":"10.1108/jqme-09-2022-0055","DOIUrl":"https://doi.org/10.1108/jqme-09-2022-0055","url":null,"abstract":"PurposeThe purpose of this study was to develop and implement a new model to improve maintenance management and the production system through the concepts: maintenance, lean philosophy and Industry 4.0.Design/methodology/approachThe methodology employed in this study includes conducting a bibliographic survey of existing models exploring the joint application of the concepts under study, critically analyzing these models, developing a model proposal and subsequently analyzing the results obtained. The model is implemented on a belt conveyor of a feed mill to improve its performance.FindingsThe proposed model contributes to improve maintenance and production system management, proving to be a useful tool to improve real-time decision-making. After its application, it was possible to verify that it increased the performance of the conveyor belt, as well as improved the skills of the operators who operate on it.Research limitations/implicationsLimitation about the distance between the devices that make up the model. The implementation of autonomous maintenance can highlight some challenges within the company. The implementation was only in the belt conveyor, being useful to introduce this in the remaining areas of the factory.Originality/valueThe study presents an innovative, versatile, low-cost and easy-to-apply model to improve maintenance management by combining the three concepts. The model can be easily adapted to monitor condition parameters such as temperature, noise, among others, through the correct choice of devices and proper programming. This work also contributed to help in real-time decision-making for both the maintenance and production departments.","PeriodicalId":16938,"journal":{"name":"Journal of Quality in Maintenance Engineering","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47197226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prioritization of factors influencing outsourcing maintenance decisions in thermal power plants – A case study","authors":"Ja'far Alawadi, Ghaleb Yousef Abbasi, Abbas Al-Refaie","doi":"10.1108/jqme-07-2022-0040","DOIUrl":"https://doi.org/10.1108/jqme-07-2022-0040","url":null,"abstract":"Purpose Although the factors that affect the decision of outsourcing are variant from one industry to another and from one application to another, this paper aims to investigate the factors that influence the decision of outsourcing using a systematic literature review (SLR) approach to fill the gap of the literature and focus on maintenance activities in terms of industrial firms. Furthermore, the analytical hierarchy process (AHP) method will be developed to prioritize the important factors according to the experts' judgments and reveal the factors' weights to support decision-makers in thermal power plants to realize the factors that have a high impact on outsourcing maintenance decisions and enhance their decision-making to increase power plant competitive advantages over quality, availability and safety requirements. Design/methodology/approach The purpose of this research is to prioritize the factors that influence outsourcing maintenance decisions to be considered by decision-makers in power plants before making a decision of outsourcing maintenance activities. In this research, an SLR approach was applied to identify the factors in terms of industry and rank them accordingly using factors' frequency process. A questionnaire survey was designed to seek the experts' opinions to prioritize the factors that influence the decision of outsourcing maintenance activities in power companies using AHP. The research found that “Improve service quality”, “acquire new skills or technical knowledge” and “Function difficult to manage” have the first priority before making the decision of outsourcing maintenance activities in the context of power plants. Findings The decision of outsourcing regarding maintenance activities in the context of industry, as well as determining the most critical factors among the extracted factors from the literature and rank them accordingly using factors' frequency process. Next, a questionnaire survey was designed and conducted to seek the experts' opinions to prioritize the factors that influence the decision of outsourcing concerning maintenance activities in thermal power companies using AHP method. According to the SLR, industrial companies are mainly pursuing outsourcing maintenance services to focus on core activities, save overall costs and improve service quality. Originality/value This is an original research paper out of an MSc thesis submitted at the Industrial Engineering Department, University of Jordan.","PeriodicalId":16938,"journal":{"name":"Journal of Quality in Maintenance Engineering","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136230609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Maintenance work management process model: incorporating system dynamics and 4IR technologies","authors":"M. Manenzhe, A. Telukdarie, M. Munsamy","doi":"10.1108/jqme-10-2022-0063","DOIUrl":"https://doi.org/10.1108/jqme-10-2022-0063","url":null,"abstract":"PurposeThe purpose of this paper is to propose a system dynamic simulated process model for maintenance work management incorporating the Fourth Industrial Revolution (4IR) technologies.Design/methodology/approachThe extant literature in physical assets maintenance depicts that poor maintenance management is predominantly because of a lack of a clearly defined maintenance work management process model, resulting in poor management of maintenance work. This paper solves this complex phenomenon using a combination of conceptual process modeling and system dynamics simulation incorporating 4IR technologies. A process for maintenance work management and its control actions on scheduled maintenance tasks versus unscheduled maintenance tasks is modeled, replicating real-world scenarios with a digital lens (4IR technologies) for predictive maintenance strategy.FindingsA process for maintenance work management is thus modeled and simulated as a dynamic system. Post-model validation, this study reveals that the real-world maintenance work management process can be replicated using system dynamics modeling. The impact analysis of 4IR technologies on maintenance work management systems reveals that the implementation of 4IR technologies intensifies asset performance with an overall gain of 27.46%, yielding the best maintenance index. This study further reveals that the benefits of 4IR technologies positively impact equipment defect predictability before failure, thereby yielding a predictive maintenance strategy.Research limitations/implicationsThe study focused on maintenance work management system without the consideration of other subsystems such as cost of maintenance, production dynamics, and supply chain management.Practical implicationsThe maintenance real-world quantitative data is retrieved from two maintenance departments from company A, for a period of 24 months, representing years 2017 and 2018. The maintenance quantitative data retrieved represent six various types of equipment used at underground Mines. The maintenance management qualitative data (Organizational documents) in maintenance management are retrieved from company A and company B. Company A is a global mining industry, and company B is a global manufacturing industry. The reliability of the data used in the model validation have practical implications on how maintenance work management system behaves with the benefit of 4IR technologies' implementation.Social implicationsThis research study yields an overall benefit in asset management, thereby intensifying asset performance. The expected learnings are intended to benefit future research in the physical asset management field of study and most important to the industry practitioners in physical asset management.Originality/valueThis paper provides for a model in which maintenance work and its dynamics is systematically managed. Uncontrollable corrective maintenance work increases the complexity of the overall maintenance work manage","PeriodicalId":16938,"journal":{"name":"Journal of Quality in Maintenance Engineering","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45516079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intuitionistic fuzzy fault tree analysis of PCBA using novel arithmetic operations","authors":"Rocky Khajuria, Komal","doi":"10.1108/jqme-10-2022-0062","DOIUrl":"https://doi.org/10.1108/jqme-10-2022-0062","url":null,"abstract":"PurposeThe main goal of this paper is to develop novel Tω(weakest t-norm)-based fuzzy arithmetic operations to analyze the intuitionistic fuzzy reliability of Printed Circuit Board Assembly (PCBA) using fault tree.Design/methodology/approachThe paper proposes a fuzzy fault tree analysis (FFTA) method for evaluating the intuitionistic fuzzy reliability of any nonrepairable system with uncertain information about failures of system components. This method uses a fault tree for modeling the failure phenomenon of the system, triangular intuitionistic fuzzy numbers (TIFNs) to determine data uncertainty, while novel arithmetic operations are adopted to determine the intuitionistic fuzzy reliability of a system under consideration. The proposed arithmetic operations employ Tω(weakest t-norm) to minimize the accumulating phenomenon of fuzziness, whereas the weighted arithmetic mean is employed to determine the membership as well as nonmembership degrees of the intuitionistic fuzzy failure possibility of the nonrepairable system. The usefulness of the proposed method has been illustrated by inspecting the intuitionistic fuzzy failure possibility of the PCBA and comparing the results with five other existing FFTA methods.FindingsThe results show that the proposed FFTA method effectively reduces the accumulating phenomenon of fuzziness and provides optimized degrees of membership and nonmembership for computed intuitionistic fuzzy reliability of a nonrepairable system.Originality/valueThe paper introduces Tω(weakest t-norm) and weighted arithmetic mean based operations for evaluating the intuitionistic fuzzy failure possibility of any nonrepairable system in an uncertain environment using a fault tree.","PeriodicalId":16938,"journal":{"name":"Journal of Quality in Maintenance Engineering","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42979459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance measurement in aircraft maintenance – literature review","authors":"Mohammed Timjerdine","doi":"10.1108/jqme-10-2021-0080","DOIUrl":"https://doi.org/10.1108/jqme-10-2021-0080","url":null,"abstract":"PurposeThis research aims to review relevant documentation on performance measurement in aircraft maintenance. The approaches and models used to measure and manage aircraft maintenance performance in civilian and military contexts are classified and examined during this process. Based on the results of this study, future directions and research topics are identified.Design/methodology/approachThe review included an initial database of 200 publications published over the past 20 years. Published work included contributions from institutions, companies, and scholars.FindingsThe present literature review showed the distribution of themes related to measuring and improving of aviation maintenance performance. These areas and themes cover the perspectives of the customer, technicians and managers and range from the effective management of material resources, the contribution of mathematical models and the help of information systems, and finally, the involvement of the human factor. Thus, given this documentary base, a conceptual framework, which retraces the different operational and organizational facets of the evolution of maintenance performance management, is presented.Research limitations/implicationsBased on the results obtained, the measurement of performance in aeronautical maintenance requires more research and the development of theoretical models.Practical implicationsFindings from this investigation have relevant implications for aircraft maintenance. In this context, it is essential to understand the different approaches to “performance measurement” and management used in airlines and maintenance centers.Originality/valueGiven the competitiveness of the aviation sector, it is important to understand the types and scope of different approaches and models used to manage and measure aeronautical maintenance performance in civilian and military operational contexts.","PeriodicalId":16938,"journal":{"name":"Journal of Quality in Maintenance Engineering","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48926679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"UGF-based signature reliability for solar panel k-out-of-n- multiplex systems","authors":"M. Ram, Akshay Kumar, Sadiya Naaz","doi":"10.1108/jqme-08-2022-0052","DOIUrl":"https://doi.org/10.1108/jqme-08-2022-0052","url":null,"abstract":"PurposeThe purpose of this paper is to evaluate the reliability and signature reliability of solar panel k-out-of-n-multiplex system with the help of universal generating function.Design/methodology/approachEnergy scarcity and global warming issues have become important concerns for humanity in recent decades. To solve these problems, various nations work for renewable energy sources (RESs), including sun, breeze, geothermal, wave, radioactive and biofuels. Solar energy is absorbed by solar panels, referred to as photovoltaic panels, which then transform it into electricity that can be used to power buildings or residences. Remote places can be supplied with electricity using these panels. Solar energy is often generated using a solar panel that is connected to an inverter for power supply. As a result, a converter reliability evaluation is frequently required. This paper presents a study on the reliability analysis of k-out-of-n systems with heterogeneous components. In this research, the universal generating function methodology is used to identify the reliability function and signature reliability of the solar array components. This method is commonly used to assess the tail signature and Barlow-Proschan index with independent and identically distributed components.FindingsThe Barlow-Proschan index, tail signature, signature, expected lifetime, expected cost and minimal signature of independent identically distributed are all computed.Originality/valueThis is the first study of solar panel k-out-of-n-multiplex systems to examine the signature reliability with the help of universal generating function techniques with various measures.","PeriodicalId":16938,"journal":{"name":"Journal of Quality in Maintenance Engineering","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45232172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"LSTM based artificial intelligence predictive maintenance technique for availability rate and OEE improvement in a TPM implementing plant through Industry 4.0 transformation","authors":"Roosefert Mohan, J. Roselyn, R. Uthra","doi":"10.1108/jqme-07-2022-0041","DOIUrl":"https://doi.org/10.1108/jqme-07-2022-0041","url":null,"abstract":"PurposeThe artificial intelligence (AI) based total productive maintenance (TPM) condition based maintenance (CBM) approach through Industry 4.0 transformation can well predict the breakdown in advance to eliminate breakdown.Design/methodology/approachMeeting the customer requirement as per the delivery schedule with the existing resources are always a big challenge in industries. Any catastrophic breakdown in the equipment leads to increase in production loss, damage to machines, repair cost, time and affects delivery. If these breakdowns are predicted in advance, the breakdown can be addressed before its occurrence and the demand supply chain can be met. TPM is one of the essential operational excellence tool used in industries to utilize the existing resources of a plant in a optimal way. The conventional time based maintenance (TBM) and CBM approach of TPM in Industry 3.0 is time consuming and not accurate enough to achieve zero down time.FindingsThe proposed AI and IIoT based TPM is achieved in a digitalized data oriented platform to monitor and control the health status of the machine which may reduce the catastrophic breakdown by 95% and also improves the quality rate and machine performance rate. Based on the identified key signature parameters related to major breakdown are measured using the sensors, digitalised by programmable logic controller (PLC) and monitored by supervisory control and data acquisition (SCADA) and predicted in server or cloud.Originality/valueLong short term memory based deep learning network was developed as a regression forecasting model to predict the remaining useful life RUL of the part or assembly and based on the predictions, corrective action has been implemented before the occurrence of breakdown. The reliability and consistency of the proposed approach are validated and horizontally deployed in similar machines to achieve zero downtime.","PeriodicalId":16938,"journal":{"name":"Journal of Quality in Maintenance Engineering","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43489637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}