Detection and evaluation of rolling stock wheelset defects using acoustic emission

Acoustic emission (AE) can be employed for the early fault detection of rolling stock wheelset components. Research has been carried out on development a remote condition monitoring (RCM) technology online defects. Railway axle bearings and wheels are critical components that develop faults at any time when in service. AE is reliable passive RCM technique quantitative evaluation structural integrity wheelsets. The emphasis this study placed results obtained from experimental work performed under laboratory field testing conditions. Several tests were using different bearing In addition, customised system installed Chiltern Rail Line, adjacent to hot box detector, was used comparison purposes. Using this, signal analysis order detect potential faults. Defect type quantification also achieved, leading effective diagnosis bearings.