Fault Detection for Singular Discrete-Time Linear Systems with Signal-to-Noise Ratio Constrained Channels

2016 ◽  
Vol 36 (6) ◽  
pp. 2420-2440
Author(s):  
Fumin Guo ◽  
Xuemei Ren ◽  
Zhijun Li ◽  
Cunwu Han
Keyword(s):  
Fault Detection ◽  
Linear Systems ◽  
Discrete Time ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Noise Ratio ◽  
Time Linear

Filtering for Linear Systems with Jump Parameters with High Signal-to-Noise Ratio

1996 ◽  
Vol 29 (1) ◽  
pp. 3834-3839
Author(s):  
F. Dufour ◽  
P. Bertrand ◽  
R.J. Elliott
Keyword(s):  
Linear Systems ◽  
Signal To Noise Ratio ◽  
High Signal ◽  
Signal To Noise ◽  
Noise Ratio

scholarly journals Orthogonal On-Rotor Sensing Vibrations for Condition Monitoring of Rotating Machines

2021 ◽  
Author(s):  
Yuandong Xu ◽  
◽  
Xiaoli Tang ◽  
Guojin Feng ◽  
Dong Wang ◽  
...  
Keyword(s):  
Fault Detection ◽  
Condition Monitoring ◽  
Signal To Noise Ratio ◽  
Fault Detection And Diagnosis ◽  
Vibration Measurement ◽  
High Signal ◽  
Rotating Machines ◽  
Signal To Noise ◽  
Mems Accelerometer ◽  
Noise Ratio

Thanks to the fast development of Micro-Electro-Mechanical Systems (MEMS) technologies, MEMS accelerometers show great potentialities for machine condition monitoring. To overcome the problems of a poor signal to noise ratio, complicated modulation, and high costs of vibration measurement and computation using conventional Integrated Electronics Piezo-Electric (IEPE) accelerometers, a triaxial MEMS accelerometer based On-Rotor Sensing (ORS) technology was developed in this study. With wireless data transmission capability, the ORS unit can be mounted on a rotating rotor to obtain both rotational and transverse dynamics of the rotor with a high signal to noise ratio. The orthogonal outputs lead to a construction method of analytic signals in the time domain, which is versatile in fault detection and diagnosis of rotating machines. Two case studies based on an induction motor were carried out, which demonstrated that incipient bearing defect and half broken rotor bar can be effectively diagnosed by the proposed measurement and analysis methods. Comparatively, vibration signals from transitional on-casing accelerometers are less capable of detecting such faults. This demonstrates the superiority of the ORS vibrations in fault detection of rotating machines.

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