Maintenance, Reliability and Condition Monitoring最新文献

An improved semi-supervised prototype network for few-shot fault diagnosis 用于少量故障诊断的改进型半监督原型网络

Maintenance, Reliability and Condition Monitoring Pub Date : 2024-03-29 DOI: 10.21595/marc.2024.23890

Zhenlian Lu, Kuosheng Jiang, Jie Wu

引用次数: 0

Maintenance decision-making and its relevance in engineering asset management 维护决策及其与工程资产管理的相关性

Maintenance, Reliability and Condition Monitoring Pub Date : 2024-03-25 DOI: 10.21595/marc.2024.23687

Sagar More, R. Tuladhar, Daniel Grainger, William Milne

{"title":"Maintenance decision-making and its relevance in engineering asset management","authors":"Sagar More, R. Tuladhar, Daniel Grainger, William Milne","doi":"10.21595/marc.2024.23687","DOIUrl":"https://doi.org/10.21595/marc.2024.23687","url":null,"abstract":"Engineering asset management (EAM) has received a lot of attention in the last few decades. Despite this, industries struggle to identify the best strategies for maintaining assets. The decision-making around selecting a relevant maintenance strategy generally considers factors like risk, performance and cost. Risk management is, usually, largely subjective and industries consequently make investments in a subjective manner, making the allocation of budget unstructured and arbitrary. Generally, industries focus only on either overt risks or basic performance of assets, thus creating uncertainties in the decision-making process. Recently, however, maintenance decision-making has evolved from a subjective assessment, chiefly dependent on expert opinions, to utilizing live-data-sensor technology. The attitude towards component failures and how to address them has changed drastically with the evolution of maintenance strategies. Additionally, the emergence and use of several tools and models have assisted the drafting and implementation of effective maintenance strategies. These advancements, however, have only considered discrete parameters while modelling, instead of using an integrated approach. One of the primary factors which can address this shortfall and make the decision-making process more robust is the economic element. To enable an effective decision-making process, it is imperative to consider quantifiable determinants and include economic parameters while drafting maintenance policies. This paper reviews maintenance decision-making strategies in EAM and also highlights its relevance through an economic lens.","PeriodicalId":285529,"journal":{"name":"Maintenance, Reliability and Condition Monitoring","volume":" 96","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140384573","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}

引用次数: 0

Stakeholder dynamics and their impact on value creation for industrial maintenance projects-a literature review 利益相关者动态及其对工业维护项目价值创造的影响--文献综述

Maintenance, Reliability and Condition Monitoring Pub Date : 2023-12-30 DOI: 10.21595/marc.2023.23894

Mufaro Masarira, Amir Rahbarimanesh, K. Papadopoulou, Jyoti K. Sinha

{"title":"Stakeholder dynamics and their impact on value creation for industrial maintenance projects-a literature review","authors":"Mufaro Masarira, Amir Rahbarimanesh, K. Papadopoulou, Jyoti K. Sinha","doi":"10.21595/marc.2023.23894","DOIUrl":"https://doi.org/10.21595/marc.2023.23894","url":null,"abstract":"This paper analyses research developments in the dynamics of stakeholders and their impact mechanisms on the creation of value through a literature review. Three databases, Scopus, Science Direct and Google Scholar are selected to search articles. This study employs a quantitative descriptive analysis and a qualitative thematic analysis to provide a perspective of the data. The findings of the review reveal that stakeholder dynamics management is embedded in project environments and that the dynamic nature of the stakeholder salience attributes can be classified under stakeholder influence and engagement, project lifecycle and dynamics, value creation and framing, and project and stakeholder-associated risk. However, from the characterisation and the drivers of stakeholder dynamics discussed in the literature, the perspective of project risk dynamics has been understudied, with a focus mainly on stakeholder-associated risk to the project, and less on project risk and the stakeholder interactions related to potential losses or gains by stakeholders from such project decisions and activities. Although there is a recognition of the importance of managing stakeholder dynamics within project environments, the factors that affect stakeholder dynamics and their impact on the creation of value for industrial maintenance projects are still unclear. The outcome of the literature review can assist in providing the foundation for the authors’ empirical work of developing a novel conceptual framework for analysing stakeholder dynamics and their impact on maximising value creation in the context of industrial maintenance projects.","PeriodicalId":285529,"journal":{"name":"Maintenance, Reliability and Condition Monitoring","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139138586","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}

引用次数: 0

Optimizing and reliability analysis by firefly and genetic algorithms for a quadcopter 基于萤火虫和遗传算法的四轴飞行器优化与可靠性分析

Maintenance, Reliability and Condition Monitoring Pub Date : 2023-06-25 DOI: 10.21595/marc.2023.23106

Amirhossein Gholami, A. Naghash, Mahdi Bagherian Dehaghi, K. Imani

{"title":"Optimizing and reliability analysis by firefly and genetic algorithms for a quadcopter","authors":"Amirhossein Gholami, A. Naghash, Mahdi Bagherian Dehaghi, K. Imani","doi":"10.21595/marc.2023.23106","DOIUrl":"https://doi.org/10.21595/marc.2023.23106","url":null,"abstract":"Our study aims to obtain the highest level of reliability for a quadcopter, taking financial and mass limitations into account, to achieve the highest level of reliability with the lowest mass and cost. For this purpose, we first calculated the reliability and the relationships that govern it, and based on these relationships, we determined the reliability of the quadcopter subsystems. In order to achieve the highest level of reliability, we utilized optimization algorithms. It is possible to increase the reliability of a system through several methods, such as enhancing the quality of parts and components, using surplus components, improving the quality of parts and components by always using surplus components, and redesigning the system. This study examines the possibility of increasing quadcopter reliability by using additional parts and optimizing it using the firefly algorithm. Lastly, in order to validate the results obtained from the firefly algorithm, we implemented the problem once again using the genetic algorithm and compared the results obtained from both algorithms. After 20 times of running the algorithms, the optimal reliability values were 0.99925 for the firefly algorithm and 0.99999 for the genetic algorithm.","PeriodicalId":285529,"journal":{"name":"Maintenance, Reliability and Condition Monitoring","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131999720","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}

引用次数: 0

Vibration influence of different types of heavy-duty trucks on road surface damage 不同类型重型卡车振动对路面损伤的影响

Maintenance, Reliability and Condition Monitoring Pub Date : 2023-01-18 DOI: 10.21595/marc.2022.23020

Mingming Sun, V. Nguyen

引用次数: 0

Reliability calculation with error tree analysis and breakdown effect analysis for a quadcopter power distribution system 基于误差树分析和故障效应分析的四轴飞行器配电系统可靠性计算

Maintenance, Reliability and Condition Monitoring Pub Date : 2022-12-23 DOI: 10.21595/marc.2022.23054

K. Imani, A. Gholami, Mahdi Bagherian Dehaghi

{"title":"Reliability calculation with error tree analysis and breakdown effect analysis for a quadcopter power distribution system","authors":"K. Imani, A. Gholami, Mahdi Bagherian Dehaghi","doi":"10.21595/marc.2022.23054","DOIUrl":"https://doi.org/10.21595/marc.2022.23054","url":null,"abstract":"Quadcopters are playing an increasingly important role in a variety of industries due to their numerous advantages over other types of aircraft. Additionally, quadcopters are susceptible to damage, and their repair can be costly. On the other hand, today, reliability is recognized as a critical design feature in most industries. A device's reliability is one of the most important and complex issues in the field of engineering since it provides engineers with an insight into how a device performs. Due to the fact that reliability is a major factor in all industries and can significantly affect the quality and life of products, we analyzed the reliability of a quadcopter using statistical relationships, mathematical models, and previous experiences. After examining the failure modes and their effects on the system, the effects of the quadcopter failures are analyzed using the FMEA method, in order to determine the cause and mode of the failure. Finally, to determine the causes of failure, we have checked the quadcopter by the FTA method to minimize the possibility of failure. The purpose of this article is to discuss definitions and concepts in the field of reliability, followed by an analysis of the quadcopter and its components.","PeriodicalId":285529,"journal":{"name":"Maintenance, Reliability and Condition Monitoring","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123722876","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}

引用次数: 1

From description to code: a method to predict maintenance codes from maintainer descriptions 从描述到代码:从维护人员描述预测维护代码的方法

Maintenance, Reliability and Condition Monitoring Pub Date : 2022-10-30 DOI: 10.21595/marc.2022.22798

Srini Anand, Robert M. Keefer

{"title":"From description to code: a method to predict maintenance codes from maintainer descriptions","authors":"Srini Anand, Robert M. Keefer","doi":"10.21595/marc.2022.22798","DOIUrl":"https://doi.org/10.21595/marc.2022.22798","url":null,"abstract":"Aircraft maintenance crews enter the actions performed, the time required to complete the actions, and process followed to complete the action into a system of record that may be used to support future important operational decisions such as part inventory and staffing levels. Unfortunately, the actions performed by maintainers may not align with structured, predetermined codes for such actions. This discrepancy combined with an overabundance of structured codes has led to incorrect and polluted maintenance data that cannot be used in decision making. Typically, the unstructured textual fields accurately record the maintenance action, but are inaccessible to common reporting approaches. The textual fields can be used to cleanse the structured fields, thereby making more data available to support operational decision making. This paper introduces a natural language processing pipeline to predict C-17 US Air Force maintenance codes from an unstructured, shorthand text record. This research aims to cleanse problematic structured fields for further use in operational efficiency and asset reliability measures. Novel use of text processing, extraction, clustering, and classification approaches was employed to develop a natural language processing pipeline suited to the peculiarities of short, jargon-based text. The pipeline evaluates the frequency of structured field values within the datase and selects an appropriate machine learning model to optimize the predictive accuracy. Three different predictive methods were investigated to determine an optimal approach: a Logistic Regression Classifier, a Random Forrest Classifier, and Unsupervised techniques. This pipeline predicted structured fields with an average accuracy of 93 % across the five maintenance codes.","PeriodicalId":285529,"journal":{"name":"Maintenance, Reliability and Condition Monitoring","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128973518","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}

引用次数: 0

Experimental investigation of damping characteristics of sandwiched engine isolators using two-way isolator excitation method (TWIEM) and performance evaluation 采用双向隔振法(TWIEM)对夹心式发动机隔振器阻尼特性进行试验研究及性能评价

Maintenance, Reliability and Condition Monitoring Pub Date : 2022-09-21 DOI: 10.21595/marc.2022.22567

A. Bhende

{"title":"Experimental investigation of damping characteristics of sandwiched engine isolators using two-way isolator excitation method (TWIEM) and performance evaluation","authors":"A. Bhende","doi":"10.21595/marc.2022.22567","DOIUrl":"https://doi.org/10.21595/marc.2022.22567","url":null,"abstract":"Dynamic properties of engine isolators are of significant importance in determining the performance of the isolator and precise prediction of the dynamic behavior at the design stage. Unfortunately, the damping property can not be deduced deterministically from other structural properties because it is highly dependent on dynamic shear properties such as frequency and temperature of material under application. Generally damping properties are determined from experiments conducted on the desired setup. Many times, designers use the damping property data available in literature. Such data may not be recommended for development of predictive models for dynamic behavior. This paper presents a novel method of determination of damping property of the engine isolator. The method is called two-way isolator excitation method (TWIEM). The damping property is determined by excitation of the isolator for active and passive transmissibility. The purpose of this paper is to analyze the vibration isolation by checking the transmissibility ratio for various engine isolators. Sandwiched engine isolators are designed to blend the good properties of different isolation materials to make it more efficient. The experimentation was carried out using three different isolator designs and compared the performance of the isolator on the basis of isolation percentage. Mild steel plates, polymer foam sheets and natural rubber materials are used as Isolator materials. The results show that low damping ratio isolating material is more effective in isolating the vibration source.","PeriodicalId":285529,"journal":{"name":"Maintenance, Reliability and Condition Monitoring","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126335678","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}

引用次数: 1

Reliability of quantitative risk models: a case study from offshore gas production platform 定量风险模型的可靠性:以海上天然气生产平台为例

Maintenance, Reliability and Condition Monitoring Pub Date : 2022-05-18 DOI: 10.21595/marc.2022.22292

Mohamed Attia, J. Sinha

{"title":"Reliability of quantitative risk models: a case study from offshore gas production platform","authors":"Mohamed Attia, J. Sinha","doi":"10.21595/marc.2022.22292","DOIUrl":"https://doi.org/10.21595/marc.2022.22292","url":null,"abstract":"In response to the competing factors governing the operation of oil and gas facilities, i.e., the stringent safety and environmental regulations, and the challenging business environment that entails minimizing the running cost, a risk-based inspection (RBI) program became a vital part of all Asset Integrity Management (AIM) frameworks. The objective is to ensure asset mechanical integrity while optimizing the maintenance and inspection resources and minimizing production downtime. There are different risk models being used to manage operational risk for equipment. The decision-maker should be attentive to the subjectivity and reliability of the risk results to establish an adequate risk target that can achieve the ultimate goal of RBI by determining the cost-effective inspection and maintenance plan without compromising plant safety, integrity or reliability. This paper presents evaluations of the most quantitative RBI models through a case study from an offshore gas producing platform. A case study was implemented for topside equipment on an offshore platform. The study analyzed the impact of contributing factors to the probability of failure (PoF) model through a sensitivity analysis to quantify the reliability and subjectivity in the failure probabilities. A sensitivity analysis and comparison between both API consequence modelling methodologies (i.e., CoF level 1 and 2) were performed to manifest the reliability of risk results. The sensitivity analysis revealed the variance in the calculated risk and demonstrated that a risk target/threshold should be established based on the deployed risk model. Using the same risk target for different risk models cannot effectively define all equipment items that actually need more resources to mitigate the risk. And can result in omitting critical equipment which can jeopardize asset integrity and lead to major losses, or spend resources on unnecessary equipment.","PeriodicalId":285529,"journal":{"name":"Maintenance, Reliability and Condition Monitoring","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125235378","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}

引用次数: 0

Classification of a cracked-rotor system during start-up using Deep learning based on convolutional neural networks 基于卷积神经网络的深度学习转子裂纹系统启动分类

Maintenance, Reliability and Condition Monitoring Pub Date : 2021-12-15 DOI: 10.21595/marc.2021.22030

N. Rezazadeh, M. Ashory, Shila Fallahy

引用次数: 5