Incipient Fault Detection in a Hydraulic System Using Canonical Variable Analysis Combined with Adaptive Kernel Density Estimation

Incipient Fault Detection in a Hydraulic System Using Canonical Variable Analysis Combined with Adaptive Kernel Density Estimation

Incipient fault detection in a hydraulic system is a challenge in the condition monitoring community. Existing research mainly monitors abnormal working conditions in hydraulic systems by separately detecting the key working parameter, which often causes a high miss warning rate for incipient faults...

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Bibliographic Details
Main Authors: Jinxin Wang, Shenglei Zhao, Enyuan Wang, Jiyun Zhao, Xiaofei Liu, Zhonghui Li
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Sensors
Subjects:
hydraulic system
condition monitoring
fault detection
canonical variable analysis
adaptive kernel density estimation
Online Access:https://www.mdpi.com/1424-8220/23/19/8096

Internet

https://www.mdpi.com/1424-8220/23/19/8096

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