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Ball bearing defect models: A study of simulated and experimental fault signatures
Numerical model based virtual prototype of a system can serve as a tool to generate huge
amount of data which replace the dependence on expensive and often difficult to conduct …
amount of data which replace the dependence on expensive and often difficult to conduct …
Rolling element bearing fault diagnosis under slow speed operation using wavelet de-noising
Rolling element bearing is widely used in rotating machines and any bearing defect therein
can severely affect the overall machine performance. Vibration monitoring is often used to …
can severely affect the overall machine performance. Vibration monitoring is often used to …
An ensemble convolutional neural networks for bearing fault diagnosis using multi-sensor data
Multi-sensor data fusion is a feasible technique to achieve accurate and robust results in
fault diagnosis of rotating machinery under complex conditions. However, the problem of …
fault diagnosis of rotating machinery under complex conditions. However, the problem of …
Gear wear monitoring by modulation signal bispectrum based on motor current signal analysis
Gears are important mechanical components for power transmissions. Tooth wear is one of
the most common failure modes, which can present throughout a gear's lifetime. It is …
the most common failure modes, which can present throughout a gear's lifetime. It is …
An investigation into fault diagnosis of planetary gearboxes using a bispectrum convolutional neural network
X Pang, X Xue, W Jiang, K Lu - IEEE/ASME Transactions on …, 2020 - ieeexplore.ieee.org
To improve the efficiency and accuracy of fault diagnostics of planetary gearboxes, an
intelligent diagnosis approach is proposed based on deep convolutional neural networks …
intelligent diagnosis approach is proposed based on deep convolutional neural networks …
Electrical motor current signal analysis using a modified bispectrum for fault diagnosis of downstream mechanical equipment
This paper presents the use of the induction motor current to identify and quantify common
faults within a two-stage reciprocating compressor based on bispectrum analysis. The …
faults within a two-stage reciprocating compressor based on bispectrum analysis. The …
A novel statistical time-frequency analysis for rotating machine condition monitoring
The key function of rotating machine condition monitoring (CM) is to detect structural
changes during machine operations. This paper presents a novel statistical time-frequency …
changes during machine operations. This paper presents a novel statistical time-frequency …
Assessment of local faults in helical geared system using vibro-acoustic signals based on higher order spectrum analysis
Geared transmission system plays an important role in modern technology to transmit both
power and motion. The power transmission and control requirements in manufacturing …
power and motion. The power transmission and control requirements in manufacturing …
A novel fault diagnosis technique for enhancing maintenance and reliability of rotating machines
Equipment standardisation as a cost-effective means of rationalising maintenance spares
has significantly increased the existence of several identical (similar components and …
has significantly increased the existence of several identical (similar components and …
Global crack detection using bispectral analysis
AJ Hillis, SA Neild… - Proceedings of the …, 2006 - royalsocietypublishing.org
This paper describes a global non-destructive testing technique for detecting fatigue
cracking in engineering components. The technique measures the mixing of two ultrasonic …
cracking in engineering components. The technique measures the mixing of two ultrasonic …