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Samuel David Iyaghigba, Ivan Petrunin and Nicolas P. Avdelidis
This approach is suitable for diagnostics of other systems in terms of real-time fault identification and mitigation. It will also be useful in the field of digital twin applications.
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Juan Luis Pérez-Ruiz, Yu Tang, Igor Loboda and Luis Angel Miró-Zárate
In the field of aircraft engine diagnostics, many advanced algorithms have been proposed over the last few years. However, there is still wide room for improvement, especially in the development of more integrated and complete engine health management sy...
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Ruliang Lin, Jialin Yang, Lijing Huang, Zhiwen Liu, Xuehua Zhou and Zhiguo Zhou
The reliability and safety of launch vehicle launch missions might be effectively increased thanks to the fault prediction and health management (PHM) technology of engines, which could also improve with problem diagnostics and decrease the cost of opera...
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Chibuzo Nwabufo Okwuosa, Ugochukwu Ejike Akpudo and Jang-Wook Hur
In industry, electric motors such as the squirrel cage induction motor (SCIM) generate motive power and are particularly popular due to their low acquisition cost, strength, and robustness. Along with these benefits, they have minimal maintenance costs a...
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Rosmaliati, Bernandus Anggo Seno Aji, Isa Hafidz, Ardyono Priyadi, Mauridhi Hery Purnomo
Pág. 233 - 245
Fault detection in the incipient stage is necessary to avoid hazardous operating conditions and reduce outage rates in transformers. Fault-detected dissolved gas analysis is widely used to detect incipient faults in oil-immersed transformers. This paper ...
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Szabolcs Kocsis Szürke, Gergo Sütheö, Antal Apagyi, István Lakatos and Szabolcs Fischer
Vehicle safety risk can be decreased by diagnosing the lithium-ion battery system of electric road vehicles. Real-time cell diagnostics can avoid unexpected occurrences. However, lithium-ion batteries in electric vehicles can significantly differ in desi...
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Viacheslav Kozitsin, Iurii Katser and Dmitry Lakontsev
Real-time diagnostics of complex technical systems such as power plants are critical to keep the system in its working state. An ideal diagnostic system must detect any fault in advance and predict the future state of the technical system, so predictive ...
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Juan Luis Pérez-Ruiz, Yu Tang and Igor Loboda
Considering the importance of continually improving the algorithms in aircraft engine diagnostic systems, the present paper proposes and benchmarks a gas-path monitoring and diagnostics framework through the Propulsion Diagnostic Methodology Evaluation S...
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Iurii Katser, Viacheslav Kozitsin, Victor Lobachev and Ivan Maksimov
Offline changepoint detection (CPD) algorithms are used for signal segmentation in an optimal way. Generally, these algorithms are based on the assumption that signal?s changed statistical properties are known, and the appropriate models (metrics, cost f...
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Alexander Scheinker
Machine learning (ML) is growing in popularity for various particle accelerator applications including anomaly detection such as faulty beam position monitor or RF fault identification, for non-invasive diagnostics, and for creating surrogate models. ML ...
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