Ball bearing defect models: A study of simulated and experimental fault signatures

C Mishra, AK Samantaray, G Chakraborty - Journal of Sound and Vibration, 2017 - Elsevier
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 …

Rolling element bearing fault diagnosis under slow speed operation using wavelet de-noising

C Mishra, AK Samantaray, G Chakraborty - Measurement, 2017 - Elsevier
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 …

An ensemble convolutional neural networks for bearing fault diagnosis using multi-sensor data

Y Liu, X Yan, C Zhang, W Liu - Sensors, 2019 - mdpi.com
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 …

Gear wear monitoring by modulation signal bispectrum based on motor current signal analysis

R Zhang, F Gu, H Mansaf, T Wang, AD Ball - Mechanical Systems and …, 2017 - Elsevier
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 …

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 …

Electrical motor current signal analysis using a modified bispectrum for fault diagnosis of downstream mechanical equipment

F Gu, Y Shao, N Hu, A Naid, AD Ball - Mechanical Systems and Signal …, 2011 - Elsevier
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 …

A novel statistical time-frequency analysis for rotating machine condition monitoring

T Wang, G Lu, P Yan - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
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 …

Assessment of local faults in helical geared system using vibro-acoustic signals based on higher order spectrum analysis

V Gunasegaran, M Amarnath, H Chelladurai… - Applied Acoustics, 2023 - Elsevier
Geared transmission system plays an important role in modern technology to transmit both
power and motion. The power transmission and control requirements in manufacturing …

A novel fault diagnosis technique for enhancing maintenance and reliability of rotating machines

A Yunusa-Kaltungo, JK Sinha… - Structural Health …, 2015 - journals.sagepub.com
Equipment standardisation as a cost-effective means of rationalising maintenance spares
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 …