Results 31 to 40 of about 8,084 (268)
A data enlargement strategy for fault classification through a convolutional auto-encoder
MATEC Web of Conferences, 2019 The amount of data is of crucial to the accuracy of fault classification through machine learning techniques. In wind energy harvest industry, due to the shortage of faulty data obtained in real practice, together with ever changing operational ...
Hao Cui +4 more
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Rolling Element Bearings Fault Diagnosis Based on a Novel Optimal Frequency Band Selection Scheme
IEEE Access, 2019 The squared envelope spectrum (SES) is one of the most effective methods in rolling element bearing fault diagnosis. Being a technique based on demodulation, the success of SES depends highly on the extraction of information caused by the bearings fault.
Qing Ni, Kesheng Wang, Jinde Zheng
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Materials & Design, 2022 Self-sensing techniques are restricted to monitoring the various types of damage caused during repeated impact testing, and only a few studies have investigated the prognostics of carbon fiber reinforced plastics (CFRPs); in these studies, the electrical
In-Yong Lee +2 more
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A novel concept and assessment method for trustworthiness of prognostics
Advances in Mechanical Engineering, 2016 The existence of the unavoidable uncertainties has a great effect on the prognostics accuracy and performance. However, their influences are rarely taken into account in the current prognostics performance evaluation.
Bo Sun +3 more
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Artificial intelligence in prognostics and health management of engineering systems [PDF]
Engineering Applications of Artificial Intelligence, 2022 Prognostics and health management (PHM) has become a crucial aspect of the management of engineering systems and structures, where sensor hardware and decision support tools are deployed to detect anomalies, diagnose faults and predict remaining useful lifetime (RUL).
Sunday Ochella +2 more
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A Review of Problem Structuring Methods for Consideration in Prognostics and Smart Manufacturing
International Journal of Prognostics and Health Management, 2016 Successful use of prognostics involves the prediction of future system behaviors in an effort to maintain system availability and reduce the cost of maintenance and repairs. Recent work by the National Institute of Standards and Technology indicates that
Patrick T. Hester +3 more
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Review of Post-Prognostics Decision-Making in Prognostics and Health Management
International Journal of Prognostics and Health Management, 2021 Mainly, the prognostics and health management (PHM) process is based on three processes: the data acquisition and health assessment process in which sensors signals are acquired and processed, the diagnostic and prognostic process in which the source of failure is detected and the remaining useful life (RUL) is predicted and finally the decision ...
Bougacha, Omar +2 more
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International Journal of Prognostics and Health Management, 2023 Electric Vehicles (EVs) have become a trending topic in recent years due to the industry’s race for competitive pricing as well as environmental awareness.
Yuan-Ming Hsu +4 more
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A RUL Estimation System from Clustered Run-to-Failure Degradation Signals
Sensors, 2022 The prognostics and health management disciplines provide an efficient solution to improve a system’s durability, taking advantage of its lifespan in functionality before a failure appears.
Anthony D. Cho +2 more
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International Journal of Prognostics and Health Management, 2015 Uncertainty plays an important role in diagnostics, prognostics, and health management of engineering systems. The presence of uncertainty leads to an imprecise understanding of the behavior of such systems; as a result, this may adversely affect the ...
Shankar Sankararaman +2 more
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