Fault Diagnosis: Spectral Analysis of the Vibration Signals in Transfer Press

Abstract

Fault diagnosis using vibration signals is a major challenge for industrial manufacturing. Obtaining defect information is an important step to make decisions about the maintenance in prognostic and health management systems. Existing studies mostly considers vibration signals collected from elements such as rolling element bearings and hydraulic presses. In this paper, we use the vibration signals obtained from the mechanical transfer press during metal forming process and analyze them from the signal processing point of view. Experimental results reveals that spectral analysis is a good candidate for fault diagnosis and it provides important information about the localized faults embedded in the vibration signals.

Improving the Accuracy of Vibration Measurement Results

“…Detection of faults that have not yet led to catastrophic consequences, determining the degree of development of the defect and its signs are possible only on the basis of a detailed study of the structure of vibration signals. Many studies have been devoted to the issue of vibration control of machinery [1][2][3][5][6][7][8][9][10][11][12][13]. The work is devoted to research on the methods of signal analysis [1,2,[7][8][9]13], specializing in solving diagnostic problems, such as the method of shock pulses [2,7] and the method of envelope [8,9], which allow to solve a number of diagnostic tasks on one-time measurements of vibration or noise, and also methods of diagnosis on the basis of narrowband spectral analysis of signals [1,13].…”