2016 IEEE International Conference on Prognostics and Health Management (ICPHM)最新文献

{"title":"Modeling method for the correlation of zonal products based on improved generalized directed graphs","authors":"Yaoyao Wang, C. Lv, Dong Zhou, Dequan Yu, Quanlei Wu","doi":"10.1109/ICPHM.2016.7542853","DOIUrl":"https://doi.org/10.1109/ICPHM.2016.7542853","url":null,"abstract":"As the products become more and more complex, it is very difficult for the quality analysis of the complex products. In order to facilitate analysis, complex products are usually divided into several zones reasonably. Products arranged in the same zone usually have some spatial correlation which can't be found in design stage until the operation stage, which usually has damage to the quality of products. Hence, it is important to express the correlation among products in the same zone accurately and clearly. However, the traditional physical models cannot express the correlation among products clearly. Although a product's function structure can be effectively and clearly described by using generalized directed graph (GDG) theory, it can't express the correlation between function and environment. In this paper, we extend generalized directed graph theory first, adding color and shape elements to express the information clearly. Then the modeling method of function structure is proposed for zonal products by using improved generalized directed graph (IGDG). Finally, a power screwdriver is modeled as an example. Comparing with the results of GDG, we can find that the correlation between function and environment can be expressed clearly by using IGDG. This provides effective information for the designers in the design and layout stage, avoiding the damage of the correlation on the quality of the zonal products.","PeriodicalId":140911,"journal":{"name":"2016 IEEE International Conference on Prognostics and Health Management (ICPHM)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126497707","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":"APU feature integration based on multi-variant flight data analysis","authors":"X. Chen, Z. Lyu, H. Ren, Hong Wang, Lirong Li, Jiayang Huang, Yong Chen","doi":"10.1109/ICPHM.2016.7542872","DOIUrl":"https://doi.org/10.1109/ICPHM.2016.7542872","url":null,"abstract":"For aircraft complex systems such as auxiliary power unit (APU), the performance evaluation is currently restricted to observation of several typical parameters. Many other monitoring parameters recorded in Quick Access Recorder (QAR) reflect the APU condition from various aspects yet without enough attention. This study intends to propose integrated performance indicators through feature extraction among many monitoring parameters. Clustering analysis is then conducted to validate the effectiveness of the method by anomaly identification. This method has the potential to easily evaluate performance of some complex aircraft systems for early warning and prevent degradation from early stage.","PeriodicalId":140911,"journal":{"name":"2016 IEEE International Conference on Prognostics and Health Management (ICPHM)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131983069","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":"Condition based maintenance for complex distributed systems","authors":"B. Norman, H. Silcock","doi":"10.1109/ICPHM.2016.7542864","DOIUrl":"https://doi.org/10.1109/ICPHM.2016.7542864","url":null,"abstract":"Condition Based Maintenance (CBM) solutions are traditionally challenging to implement for today's complex distributed systems. By their very nature, these systems pose several technical obstacles. The systems to be monitored are distributed, often at remote locations, requiring a data collection network infrastructure that is secure, robust to intermittent connectivity and scalable. Heterogeneous “leading indicator” data is collected from various sources: discrete forms of data such as status, state, mode, system error reporting and inputs from other software systems; parametric data such as environmental sensors and system sensors; and manually collected data such as operator observables and maintenance actions performed. Disparate sources and forms of data also pose a challenge for analysis. Thus, in order to implement a CBM solution for complex distributed systems, it must be based on three core pillars: smart sensors capable of collecting heterogeneous data types, scalable and generically applicable predictive analysis methodologies, and a secure network infrastructure. Mikros is currently deploying a CBM+ system for combat systems on the U.S. Navy's Littoral Combat Ship (LCS). In this CBM+ system application, smart sensors are used to collect heterogeneous data from Navy combat systems. Data is collected in IEEE SIMICA standard format and transferred securely from LCS ships deployed around the world to a central server in the U.S. The Prognostics Framework®, a model-based prognostics reasoning engine, is used to analyze all data to produce prognostic alarms, identify maintenance action needs, report Remaining Useful Life (RUL) of key components, and provide a comprehensive health management capability for the LCS fleet. In summary, heterogeneous data collection made possible through smart sensor technology, model-based prognostics, and a secure network infrastructure provide a flexible and extensible framework to implement CBM for complex distributed systems. Without these core capabilities, CBM falls short of its goals to proactively support maintenance needs, increase system readiness and reliability and reduce overall life-cycle costs of today's complex distributed systems.","PeriodicalId":140911,"journal":{"name":"2016 IEEE International Conference on Prognostics and Health Management (ICPHM)","volume":"0 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128921413","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 evaluation of accelerated corrosion techniques using electrochemical measurements and acoustic emission parameters","authors":"Shilpa Patil, S. Goyal, B. Karkare","doi":"10.1109/ICPHM.2016.7542873","DOIUrl":"https://doi.org/10.1109/ICPHM.2016.7542873","url":null,"abstract":"One of the major causes for deterioration of reinforced concrete (RC) structures is corrosion of steel reinforcement and subsequent cracking of concrete. The natural corrosion process is usually slow and takes a long time to initiate. Hence to enable corrosion and health monitoring of RC elements, the specimens are usually subjected to accelerated corrosion. This push for speed becomes a cause for problems such as difference in electrochemistry at the surface of steel rebar in concrete due to difference in various accelerated corrosion techniques as identified by some of the researchers in literature. The present experimental work investigates the effectiveness of three different accelerated corrosion techniques namely alternate drying - wetting process, admixed chloride diffusion method and impressed current technique based on electrochemical and acoustic emission measurements. From the research it was found that alternate drying - wetting process and impressed current technique are more suitable than admixed chloride diffusion method. Further, there was no prominenteffect of specific accelerated corrosion technique on AEmeasurements, indicating the suitability of this technique for structural health monitoring of RC structures under corrosion distress.","PeriodicalId":140911,"journal":{"name":"2016 IEEE International Conference on Prognostics and Health Management (ICPHM)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114344518","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":"Time-frequency demodulation analysis for gearbox fault diagnosis under nonstationary conditions","authors":"Xiaowang Chen, Zhipeng Feng","doi":"10.1109/ICPHM.2016.7542821","DOIUrl":"https://doi.org/10.1109/ICPHM.2016.7542821","url":null,"abstract":"Gearbox fault diagnosis is important for ensuring the safety and running quality of many sorts of machinery. When fault exists, gearbox vibration signals feature amplitude modulation as well as frequency modulation, resulting in complex frequency structure. Besides, gearboxes often work under nonstationary conditions due to time-varying speed/load, resulting in nonstationary vibration signals which makes conventional frequency domain analysis ineffective. In this paper, we propose a time-frequency demodulation analysis method for presenting time-frequency spectra of both amplitude envelope and instantaneous frequency of analyzed signal, which directly reflect the fault frequency components on time-frequency plane without complex sidebands. To fulfill the mono-component requirement of instantaneous frequency estimation by Hilbert transform, iterative generalized demodulation is effectively exploited to decompose multi-component nonstationary signals into mono-components. Both numerical simulated and lab experimental gearbox vibration signals under nonstationary conditions are analyzed by the proposed method, and gear faults are effectively detected.","PeriodicalId":140911,"journal":{"name":"2016 IEEE International Conference on Prognostics and Health Management (ICPHM)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114866836","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":"Milling tool wear monitoring through time-frequency analysis of sensory signals","authors":"Shi Jianming, L. Yongxiang, Wang Gong, Zhang Mengying","doi":"10.1109/ICPHM.2016.7542826","DOIUrl":"https://doi.org/10.1109/ICPHM.2016.7542826","url":null,"abstract":"The states of milling tool are closely related to the quality of the workpieces under machining. A high quality product often implies high quality surface finish and dimensional accuracy. Therefore, tool wear has to be controlled. However, the tool wear cannot be measured continuously while the machine is still in operation. Thus an alterative condition monitoring approach should be adopted. The condition parameters, e.g. electric current, vibrations, acoustic emissions, are considered as indirect data in data-driven health management technology as they are not directly related with the machine health states. The sensory signals acquired during the operational process are generally time varying (TV) and non-stationary. The features will be lost if the signals are analyzed from just the time domain or frequency domain. The combination of time and frequency analysis (TFA) of the signals is very useful to extract the features hidden in the signals.","PeriodicalId":140911,"journal":{"name":"2016 IEEE International Conference on Prognostics and Health Management (ICPHM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115013939","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":"Helicopter main gearbox bearing defect identification with acoustic emission techniques","authors":"F. Duan, Faris Elasha, M. Greaves, D. Mba","doi":"10.1109/ICPHM.2016.7542856","DOIUrl":"https://doi.org/10.1109/ICPHM.2016.7542856","url":null,"abstract":"Helicopter transmission integrity is critical to the safety operation. Among all mechanical failures in helicopter transmission, the main gearbox (MGB) failures occupy approximately 16%. Great effort has been paid in early prevention and diagnosis of MGB failures. As a commonly employed monitoring technology, vibration analysis suffers from strong background noise due to variable transmission paths from the bearing to the receiving externally mounted vibration sensor. The background noise can mask the signal signature of interest. This paper reports on an investigation to identify the presence of a bearing defect in a CS29 Category `A' helicopter main gearbox with acoustic emission (AE) technologies. This investigation involved performing the tests for faultfree condition, minor bearing damage and major bearing damage conditions under different power levels. The bearing faults were seeded on one of the planet gears of the second epicyclic stage. To overcome the issue of low signal to noise ratio (SNR), AE sensor was directly attached on the dish of planet carrier. The AE signal was transferred wireless to avoid complex wiring inside MGB. The analysis results proved the feasibility of using AE sensor as in-situ bearing defect identification.","PeriodicalId":140911,"journal":{"name":"2016 IEEE International Conference on Prognostics and Health Management (ICPHM)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122058803","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":"Prognostication of remaining useful-life for flexible batteries in foldable wearable electronics","authors":"P. Lall, H. Zhang","doi":"10.1109/ICPHM.2016.7542852","DOIUrl":"https://doi.org/10.1109/ICPHM.2016.7542852","url":null,"abstract":"Electronics is increasingly being used in biometric applications for measurement of blood pressure, pulse-ox, heart rate, and biomarkers in sweat. Wearable applications necessitate the use of power sources in thinner form factors which can perform reliably under the stresses of daily motion while being exposed to body temperatures. Power sources may need instantaneous peak power and may be subjected to repeated charge and discharge cycles during the use-life of wearable electronics. In this paper, the state of art thin battery technologies commercially available have been studied for their survivability under exposure to environmental loads typical of wearable electronics applications. In addition, a solution for prognosticating the capacity degradation and remaining useful life have been developed. The charging and discharging cycles were performed on the flexible battery with a test station. The test station was comprised of a programming source meter, a programmable electronic load and a data logger. All of the test devices were controlled with LabVIEW. The test station also allowed for an input of various charging/ discharging conditions. A 1C CC (constant current) charge and discharge current rate was used in the cycles to accelerate the life test. During the test, flexible batteries were subjected to the thermal stress in an environmental chamber. Once a finite number of cycles had been imposed during the accelerated life test, the battery was cooled down to room temperature. Test results at different temperatures were used to estimate the remaining useful life of the battery using extended kalman filter.","PeriodicalId":140911,"journal":{"name":"2016 IEEE International Conference on Prognostics and Health Management (ICPHM)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127824910","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":"Dynamic sensor calibration: A comparative study of a Hall effect sensor and an incremental encoder for measuring shaft rotational position","authors":"David Rapos, C. Mechefske, M. Timusk","doi":"10.1109/ICPHM.2016.7542858","DOIUrl":"https://doi.org/10.1109/ICPHM.2016.7542858","url":null,"abstract":"The following work investigates a cost efficient method of measuring shaft rotational position. The proposed sensor configuration consists of a magnet and a Hall effect sensor. When compared to the alternative (an optical encoder), this approach has several advantages including cost, and durability. The puck shaped magnet was placed on the end of a rotating shaft and generated a magnet field oriented transverse to the shaft axis. The Hall effect sensor was placed in a stationary holder co-axially aligned with the shaft and slightly offset, in the axial direction, from the magnet. The sensor output was compared to a high accuracy incremental encoder, which is the industry standard technique. The proposed sensor was tested for its ability to record shaft rotational speed under a variety of test conditions, including; various constant speeds, varying speeds, magnet size, sensor to magnet lateral distance, and various obstructions between the magnet and the sensor (termed readability). The sensor provided excellent measurement results, under all test conditions and compared well to the incremental optical encoder.","PeriodicalId":140911,"journal":{"name":"2016 IEEE International Conference on Prognostics and Health Management (ICPHM)","volume":"88 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127998179","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":"Cost-wise readiness enabled through data driven fleet management (DDFM): Measuring PHM system benefits through post implementation assessment","authors":"M. Carter, Joshua S. Kennedy","doi":"10.1109/ICPHM.2016.7542859","DOIUrl":"https://doi.org/10.1109/ICPHM.2016.7542859","url":null,"abstract":"Progressively declining budgets compel the U. S. Army to utilize Data Driven Fleet Management (DDFM) technology to cut the cost of readiness and sustainment. DDFM is the application and integration of appropriate processes, technologies, and knowledge based capabilities to improve the reliability and maintenance effectiveness of Army Aircraft Systems and components. Uses a systems engineering approach to collect data, enable analysis, and support the decision-making processes system acquisition, sustainment, and operations. As part of an effort to mitigate rising costs, the Department of Defense has invested in the development of Digital Source Collectors as an onboard aircraft data recording system used to collect data. As a result, Army Aviation has installed thousands of DSCs. As part of its DDFM initiative, DSCs support actionable information and has enabled Army Aviation's airworthiness authority to remediate certain time-based maintenance practices. This enables substantial cost avoidance, eases the Warfighter's maintenance burden, and thereby promotes greater fleetwide emphasis on the performance of higher overall quality maintenance. Army Aviation does this to support mission readiness. Algorithms provide vibration based diagnostics capability, enabling rotor track and balance, or rotor smoothing, to reduce rotor vibrations. Rotor smoothing minimizes loads on life-limited dynamic components in the rotor system. It improves aircrew human factors, reduces vibration in non-rotor system components, and supports the reduction of vibration induced failures. The algorithms automate condition monitoring, reducing time-based visual inspection requirements and component replacements that can result from human error within austere environments under the extreme pressures of combat. Data analysis shows that the technology supports fleetwide mitigation of cost and maintenance burden; where sustainment constitutes up to 70% of ownership costs. Time extensions enabled through proper DSC utilization result in significant cost avoidance benefits. This increases time on and wing, thereby reducing the frequency and magnitude of costly component replacement. The Army Aviation and Missile Command Logistics Center produced the Post Implementation Assessment methodology featured in this paper as a repeatable procedure to measure, capture, and communicate how DDFM supports efficiency.","PeriodicalId":140911,"journal":{"name":"2016 IEEE International Conference on Prognostics and Health Management (ICPHM)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133307792","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}