Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Ming J"'
Publikováno v:
Mechanical Systems and Signal Processing. 195:110314
A speed normalized autoencoder for rotating machinery fault detection under varying speed conditions
Publikováno v:
Mechanical Systems and Signal Processing. 189:110109
Publikováno v:
Mechanical Systems and Signal Processing. 188:110026
Publikováno v:
Mechanical Systems and Signal Processing. 185:109780
Publikováno v:
Mechanical Systems and Signal Processing. 168:108657
Deep learning methods have shown great potential to provide reliable remaining useful life (RUL) predictions in Prognostics and Health Management applications. However, deep learning models, particularly supervised learning methods, are strongly depe
Autor:
Yuejian Chen, Ming J. Zuo
Publikováno v:
Mechanical Systems and Signal Processing. 167:108539
Gearboxes often operate under variable speed condition which makes the collected vibration signal, a widely employed type of condition monitoring data, becomes non-stationary. This paper proposes a sparse linear parameter varying vector auto-regressi
Publikováno v:
Mechanical Systems and Signal Processing. 167:108524
This paper proposes a new feature extraction method using time–frequency image data for fault diagnosis of variable-speed rotating machinery. Time-frequency representation (TFR) is widely used to analyze time-varying behaviors of rotating machinery
Publikováno v:
Mechanical Systems and Signal Processing. 109:166-184
This paper presents a signal processing scheme, namely enhanced morphology gradient product filter (EMGPF), for rolling element bearing fault detection. In this scheme, a morphology gradient product operation (MGPO) is firstly proposed to extract imp
Publikováno v:
Mechanical Systems and Signal Processing. 165:108327
Diagnosis of gearbox tooth cracks at an early stage is important to prevent catastrophic failures. The time synchronous average (TSA) of vibration signals of gearboxes with a tooth crack mainly consists of the gear meshing frequency (GMF) and its har
Publikováno v:
Mechanical Systems and Signal Processing. 101:424-434
Time-varying mesh stiffness is one of the main internal excitation sources of gear dynamics. Accurate evaluation of gear mesh stiffness is crucial for gear dynamic analysis. This study is devoted to developing new models for spur gear mesh stiffness