Ten lectures on wavelets
| Hi-index | 0.00 |
The paper discusses how non-stationary signal processes, such as the wavelet transform and Wigner-Ville distribution, can be applied to machinery monitoring and diagnostics in industry. One major area of application is incipient failure detection in mechanical and electrical devices. This addresses persistent industry problems such as detection of shaft rubs in journal bearings, spalls in gearbox rolling element bearings, hingepin wear in check valves, cracking teeth in gearing. arcing in motors and generators, and blade resonance in steam turbines. The shortcomings of conventional analysis and the opportunity for applying non-stationary techniques are indicated.