tailieunhanh - A train bearing fault detection and diagnosis using acoustic emission

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. | A train bearing fault detection and diagnosis using acoustic emission Engineering Solid Mechanics 4 2016 63-68 Contents lists available at GrowingScience Engineering Solid Mechanics homepage esm A train bearing fault detection and diagnosis using acoustic emission Tonphong Kaewkongka Department of Physics Faculty of Science Chulalongkorn University Patumwan Bangkok 10330 Thailand ARTICLE INFO ABSTRACT Article history This paper provides a method of acoustic emission AE technique to detect a train bearing Received 6 September 2015 fault of tapered bearing unit TBU . An approach is to utilize acoustic emission signals which Accepted 9 December 2015 were captured from piezoelectric transducer and processed using Fourier transform. The Available online transformed signals may contain unique characteristic features relating to the various types of 9 December 2015 Keywords bearing faults. The experiments on different operating conditions were investigated and they Acoustic emission corresponded to a a normal bearing and b outer race defect bearing. The result is promising Bearing for faulty bearing identification and discrimination between different bearing conditions. Train Detection Diagnosis 2016 Growing Science Ltd. All rights reserved. 1. Introduction The safe and reliable operation of a railroad transportation system is dependent upon the integrity of the rotor-dynamic mechanism of the vehicles traveling over the rails. It is necessary to monitor a condition of train bearings to determine if a degree of wear on the bearing indicates that the bearings need to be closely inspected and repaired or even replaced. An undetected faulty bearing may collapse and causes the train derailed which is extremely disastrous and causes great economic loss. Sometimes it even causes health and safety consequences. A reliable condition monitoring system is therefore highly desirable since it will alleviate the cost of these consequences and enhance the .