Intelligent Ball Bearing Fault Diagnosis Using Fractional Lorenz Chaos Extension Detection

Bearing Fault Diagnosis Using Information Fusion and Intelligent Algorithms

A train bearing fault detection and diagnosis using acoustic emission

Article history: Received 6 September, 2015 Accepted 9 December 2015 Available online 9 December 2015 This paper provides a method of acoustic emission (AE) technique to detect a train bearing fault of tapered bearing unit (TBU). An approach is to utilize acoustic emission signals which were captured from piezoelectric transducer and processed using Fourier transform. The transformed signals ma...

Ball Bearing Fault Diagnosis Using Supervised and Unsupervised Machine Learning Methods

This paper deals with the approach of using multiscale permutation entropy as a tool for feature selection for fault diagnosis in ball bearings. The coefficients obtained from the wavelet transformation of the vibration signals of the bearings are used for the calculation of statistical parameters. Based on the minimum multiscale permutation entropy criteria, the best scale is selected and stat...

Fault Diagnosis of Shaft- Ball Bearing System Using One-way Analysis of Variance

Roller bearing is one of the most widely used and critical elements in rotating machinery. In consequence, bearing fault diagnosis in machines, as well as to discriminate the different fault conditions have been a great interest. In this study, firstly, analytical model of a shaft-ball bearing system is developed. The shaft is assumed to be perfectly rigid and uniform, and supported by two radi...

Analysis and Diagnosis of Partial Discharge of Power Capacitors Using Extension Neural Network Algorithm and Synchronous Detection Based Chaos Theory

Power capacitors are important equipment of the power systems that are being operated in high voltage levels at high temperatures for long periods. As time goes on, their insulation fracture rate increases, and partial discharge is the most important cause of their fracture. Therefore, fast and accurate methods have great importance to accurately diagnosis the partial discharge. Conventional me...