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Tianhao Wang, Hongying Meng, Rui Qin, Fan Zhang and Asoke Kumar Nandi
Wind turbines are a crucial part of renewable energy generation, and their reliable and efficient operation is paramount in ensuring clean energy availability. However, the bearings in wind turbines are subjected to high stress and loads, resulting in fa...
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Christogonus U. Onukwube, Daniel O. Aikhuele and Shahryar Sorooshian
Water distribution networks are complex systems that aid in the delivery of water to residential and non-residential areas. However, the networks can be affected by different types of faults, which could lead to the wastage of treated water. As such, the...
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Shenghan Zhou, Tianhuai Wang, Linchao Yang, Zhao He and Siting Cao
This paper aims to build a Self-supervised Fault Detection Model for UAVs combined with an Auto-Encoder. With the development of data science, it is imperative to detect UAV faults and improve their safety. Many factors affect the fault of a UAV, such as...
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Zichen Yan, Jianzhong Sun, Yang Yi, Caiqiong Yang and Jingbo Sun
Data analysis is an important part of aero engine health management. In order to complete accurate condition monitoring, it is necessary to establish more effective analysis tools. Therefore, an integrated algorithm library dedicated for engine anomaly d...
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Yaseen Ahmed Mohammed Alsumaidaee, Chong Tak Yaw, Siaw Paw Koh, Sieh Kiong Tiong, Chai Phing Chen, Chung Hong Tan, Kharudin Ali and Yogendra A. L. Balasubramaniam
Switchgear and control gear are susceptible to arc problems that arise from slowly developing defects such as partial discharge, arcing, and heating due to faulty connections. These issues can now be detected and monitored using modern technology. This s...
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Hong Je-Gal, Seung-Jin Lee, Jeong-Hyun Yoon, Hyun-Suk Lee, Jung-Hee Yang and Sewon Kim
Ensuring operational reliability in machinery requires accurate fault detection. While time-domain vibration pulsation signals are intuitive for pattern recognition and feature extraction, downsampling can reduce analytical complexity, but may result in ...
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Wenbiao Wang, Qianqian Zhang and Kai Zheng
Industrial system operations usually have dynamic characteristics. If these characteristics are ignored, the performance of fault detection degrades. Herein, the fault-detection algorithm of dynamic global?local preserving projection (DGLPP) is employed ...
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Guangya Zhu, Chongyu Wang, Wei Zhao, Yonghui Xie, Ding Guo and Di Zhang
The diagnosis of blade crack faults is critical to ensuring the safety of turbomachinery. Blade tip timing (BTT) is a non-contact vibration displacement measurement technique, which has been extensively studied for blade vibration condition monitoring re...
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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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Kenan Shen and Dongbiao Zhao
Aircraft hydraulic fault diagnosis is an important technique in aircraft systems, as the hydraulic system is one of the key components of an aircraft. In aircraft hydraulic system fault diagnosis, complex environmental noises will lead to inaccurate resu...
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