Using Vibration Monitoring for Local Fault Detection on Gears Operating Under Fluctuating Load Conditions

Stander, C.; Heyns, P.S.; Schoombie, W.

doi:10.1006/mssp.2002.1479

Cited by 125 publications

(70 citation statements)

References 8 publications

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“…It was found that the bicoherence function reduced the variation in the bispectrum across different torque levels and loads. Stander et al [105] proposed order tracking and time synchronously averaging gearbox vibration data to compensate for the variation in rotational speed induced by fluctuating loads. A pseudo-Wigner-Ville distribution was then applied to the data to identify the influence of the fluctuating load.…”

Section: Effects Of Operating Conditionsmentioning

confidence: 99%

Rotating machinery prognostics: State of the art, challenges and opportunities

Heng

Zhang

Tan

et al. 2009

Mechanical Systems and Signal Processing

997

632

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Section: Effects Of Operating Conditionsmentioning

confidence: 99%

Rotating machinery prognostics: State of the art, challenges and opportunities

Heng

Zhang

Tan

et al. 2009

Mechanical Systems and Signal Processing

997

632

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“…However, in some cases (wind turbines, mining machines, ships, helicopters etc. ), the machines work under non-stationary operating conditions (load and speed variation), that often require specific signal processing and pattern recognition suitable for time varying systems [1][2][3][4][5][6][7][8][9]. The wind turbine is a great example of such class of machines [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Measurement of Instantaneous Shaft Speed by Advanced Vibration Signal Processing - Application to Wind Turbine Gearbox

Zimroz¹,

Urbanek²,

Barszcz³

et al. 2011

Metrology and Measurement Systems

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Condition monitoring of machines working under non-stationary operations is one of the most challenging problems in maintenance. A wind turbine is an example of such class of machines. One of effective approaches may be to identify operating conditions and investigate their influence on used diagnostic features. Commonly used methods based on measurement of electric current, rotational speed, power and other process variables require additional equipment (sensors, acquisition cards) and software. It is proposed to use advanced signal processing techniques for instantaneous shaft speed recovery from a vibration signal. It may be used instead of extra channels or in parallel as signal verification.

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“…With order tracking analysis, characteristic orders can be monitored whose indices do not change with the rotational speed, thus making it possible to automate the damage detection process more effectively. However, the variation in loading changes the amplitude of individual vibroacoustic signal orders, and different methods can be found to eliminate the effect of loading change on the vibroacoustic signal, such as a method involving the pseudo-Wigner-Ville distribution [16] and a method based on the determination of linear dependence between the operating conditions and the diagnostic features [1]. This paper focuses on a method for diagnosing technical condition of powertrains operating in different loading and rotational speed ranges.…”

Section: Introductionmentioning

confidence: 99%