Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Ming J"'
Autor:
Amrinder Singh Minhas, Ravinder Kumar, Sukhjeet Singh, Pavan Kumar Kankar, Arman Malhotra, Ming J. Zuo
Publikováno v:
Materials Today: Proceedings. 43:629-635
For fault detection of bearings to avoid unexpected downtime in rotating machinery (RM), their monitoring is continuously required. Whenever a fault develops in any of the rotating machinery components, the characteristics vibration signature of such
Publikováno v:
Procedia Manufacturing. 49:155-159
Planetary gearboxes are widely used in machinery such as wind turbines and helicopters. To maximize their effectiveness over their lifecycle, condition monitoring is often used, and proper health indexes can be developed utilizing condition monitorin
Publikováno v:
ISA Transactions. 95:346-357
Frequency band selection (FBS) in rotating machinery fault diagnosis aims to recognize frequency band location including a fault transient out of a full band spectrum, and thus fault diagnosis can suppress noise influence from other frequency compone
Publikováno v:
Applied Mathematical Modelling. 73:19-39
This paper presents a modeling method, an optimization method, and two applications for the safe region concept that has been developed for the health assessment of wheelset bearings of high-speed trains. The proposed safe region model uses support v
Publikováno v:
Journal of Sound and Vibration. 439:271-286
This paper presents a novel signal processing scheme by combining an improved Vold-Kalman filter and the multi-scale sample entropy (IVKF-MSSE) for planetary gearboxes under non-stationary working conditions. In this scheme, we propose a method based
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
Autor:
Kyungmee O. Kim, Ming J. Zuo
Publikováno v:
Reliability Engineering & System Safety. 180:104-110
In this paper, we consider the problem of assigning a given reliability improvement target of an existing series system to its constituent subsystems in view of the failure risk and improvement cost. Previous research has solved this problem by devel
Publikováno v:
Journal of Sound and Vibration. 432:119-132
Frequency contents have been widely investigated to understand the vibration behaviors of planetary gearboxes. Appearances of certain sideband peaks in the frequency spectrum may indicate the occurrence of gear fault. However, analyzing too many side