2003
DOI: 10.1006/mssp.2002.1531
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Fault Detection in Gear Drives With Non-Stationary Rotational Speed - Part Ii: The Time-Quefrency Approach

Abstract: This paper deals with the recognition of faults in toothing during non-stationary start up and run down of gear drives. In the first part, this task was solved by means of the timefrequency analysis. A planetary gear was used as a case study. Part II contains a new approach using the time-quefrency analysis. The same example was successfully subjected in this procedure.

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Cited by 47 publications
(15 citation statements)
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“…This approach was experimentally validated. Using the time-frequency and the time-quefrency approaches, Meltzer and Ivanov [11,12] studied experimentally the effect of gear tooth defects during a fast run up and run down on three stages of planetary gear.…”
Section: Introductionmentioning
confidence: 99%
“…This approach was experimentally validated. Using the time-frequency and the time-quefrency approaches, Meltzer and Ivanov [11,12] studied experimentally the effect of gear tooth defects during a fast run up and run down on three stages of planetary gear.…”
Section: Introductionmentioning
confidence: 99%
“…Fixed time sampling cannot cope with the varying rotational frequency of the machine, resulting in increasing leakage error and spectral smearing. Therefore, most of the conventional methods for signal processing become inappropriate when monitoring the vibrations of varying speed machinery [1][2][3][4]. Non-stationary vibrations signals from varying speed machinery may include more abundant information about its condition.…”
Section: Introductionmentioning
confidence: 99%
“…Fixed time sampling cannot cope with the varying rotational frequency of the machine, resulting in increasing leakage error and spectral smearing. Therefore, most of the conventional methods for signal processing become inappropriate when monitoring the vibrations of varying speed machinery [1][2][3][4].…”
Section: Introductionmentioning
confidence: 99%