Results 171 to 180 of about 5,183 (209)
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Quick positional health assessment for industrial robot prognostics and health management (PHM)
2017 IEEE International Conference on Robotics and Automation (ICRA), 2017Robot calibration and performance will degrade if proper maintenance isn't performed. There have been challenges for manufacturers to optimize the maintenance strategy and minimize unexpected shutdowns. Prognostics and health management (PHM) can be applied to industrial robots through the development of performance metrics, test methods, reference ...
Guixiu Qiao +2 more
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Miniature MEMS-based data recorder for prognostics and health management (PHM)
2010 IEEE AUTOTESTCON, 2010Novel prognostic sensors and reasoner algorithms are the core technology for detecting defects caused by accumulation of fatigue damage in electrical and mechanical systems over time. However, serious technical challenges to implementing a general health management strategy for helicopters and military aircraft still exist. For example, severe heat and
Matt Engelman +3 more
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Miniature MEMS-based data recorder for prognostics and health management (PHM)
IEEE Instrumentation & Measurement Magazine, 2011This paper presents a a prognostic and health management system integrating microelectromechanical systems sensor with a standard microcontroller and measurement electronics for helicopters and military aircraft. In this way, prognostic sensors can be positioned closer to the stressed components and provide higher fidelity data with lower cost.
Sonia Vohnout +2 more
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Survival Analysis Approach to Reliability, Survivability and Prognostics and Health Management (PHM)
2008 IEEE Aerospace Conference, 2008Survival analysis, also known as failure time analysis or time-to-event analysis, is one of the most significant advancements of mathematical statistics in the last quarter of the 20th century. It has become the de facto standard in biomedical data analysis.
Zhanshan Ma, Axel W. Krings
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Standards for Prognostics and Health Management (PHM) Techniques within Manufacturing Operations
Annual Conference of the PHM Society, 2014Prognostics and health management (PHM) technologies reduce time and costs for maintenance of products or processes through efficient and cost-effective diagnostic and prognostic activities. These activities aim to provide actionable information to enable intelligent decision-making for improved performance, safety, reliability ...
Gregory W. Vogl +2 more
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Competing Risks Analysis of Reliability, Survivability, and Prognostics and Health Management (PHM)
2008 IEEE Aerospace Conference, 2008Competing risks analysis is a field of applied statistics with research dating back to the eighteenth century. Starting in the 1980s, the interaction with survival analysis has lead to significant advances in competing risks analysis, especially in dealing with the dependency and identifiability issues, both of which are often intermingled with each ...
Zhanshan Ma, Axel W. Krings
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A Generic Bayesian Framework for Real-Time Prognostics and Health Management (PHM)
50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2009Benefits of Prognostics and Health Management (PHM) to support critical decisionmaking processes can be manifested by effectively implementing prognostics algorithms and accurately predicting the Remaining Useful Lives (RUL) of engineering components or systems.
Byeng Youn, Pingfeng Wang
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A Robust Laser Interferometer (RLI) for Prognostics and Health Management (PHM)
Volume 3: 28th Computers and Information in Engineering Conference, Parts A and B, 2008It is strongly suggested that consideration of the litany of reasons for the introduction of the Robust Laser Interferometer (RLI) measurement capability in Prognostics and Health Management (PHM) planning is a good idea. A ‘half dozen’ reasons for this suggestion are explored.
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Prognostics and Health Management (PHM) - State-of-the-art in Predictive Maintenance
The International Conference on Electrical Engineering, 2014With the growing advancement in sensor technology and automated controls in engineering systems, trend of on-board data recording has greatly increased. The data analysis tools along with the real-time sensor data, have resulted in a paradigm shift in the way systems are maintained.
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