A novel vibration-based fault diagnostic algorithm for gearboxes under speed fluctuations without rotational speed measurement

Hong, Liu; Qu, Yongzhi; Dhupia, Jaspreet Singh; Sheng, Shuangwen; Tan, Yuegang; Zhou, Zude

doi:10.1016/j.ymssp.2017.02.024

Cited by 50 publications

(22 citation statements)

References 33 publications

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“…A tacholess tracking method termed dual path optimization ridge estimation was proposed to detect planet bearing defects in a planetary gearbox under varying speed operation [ 74 ]. Hong et al [ 75 ] proposed a tacholess diagnostic technique based on the optimal warping path evaluated from the fast dynamic time-warping algorithm, which can identify fault information of the sun gear and annulus gear in a wind turbine gearbox under speed fluctuations.…”

Section: Challenging Issues and Solutionsmentioning

confidence: 99%

Vibration Analysis for Fault Detection of Wind Turbine Drivetrains—A Comprehensive Investigation

Teng

Ding²,

Tang

et al. 2021

Sensors

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Vibration analysis is an effective tool for the condition monitoring and fault diagnosis of wind turbine drivetrains. It enables the defect location of mechanical subassemblies and health indicator construction for remaining useful life prediction, which is beneficial to reducing the operation and maintenance costs of wind farms. This paper analyzes the structure features of different drivetrains of mainstream wind turbines and introduces a vibration data acquisition system. Almost all the research on the vibration-based diagnosis algorithm for wind turbines in the past decade is reviewed, with its effects being discussed. Several challenging tasks and their solutions in the vibration-based fault detection of wind turbine drivetrains are proposed from the perspective of practicality for wind turbines, including the fault detection of planetary subassemblies in multistage wind turbine gearboxes, fault feature extraction under nonstationary conditions, fault information enhancement techniques and health indicator construction. Numerous naturally damaged cases representing the real operational features of industrial wind turbines are given, with a discussion of the failure mechanism of defective parts in wind turbine drivetrains as well.

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Section: Challenging Issues and Solutionsmentioning

confidence: 99%

Vibration Analysis for Fault Detection of Wind Turbine Drivetrains—A Comprehensive Investigation

Teng

Ding²,

Tang

et al. 2021

Sensors

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“…DTW is an approach to achieve an optimal alignment between two time series in order to determine the similarity between the two given series. The resemblance between the given time series is estimated by optimal alignment between their corresponding data points, which yields a minimum residue, allowing the two timescales to be warped nonlinearly by stretching or shrinking (Salvador & Chan, 2007;Hong et al, 2017). In order to understand the concept of DTW, two time series, X (= x1, x2,…, xi,…, xN) of length N and Y (= y1, y2,…, yi,…, yM) of length M, are considered.…”

Section: Fast Dynamic Time Warping (Fdtw)mentioning

confidence: 99%

“…However, the availability of such sensors in an industrial set-up is limited due to the added cost associated with it. Hong, Qu, Dhupia, Sheng, Tan, and Zhou (2017) proposed a fast dynamic time warping (FDTW) based tacholess order tracking technique where spectral smearing was alleviated by aligning a filtered shaft rotational harmonic with a sinusoidal reference signal constructed assuming Madhurjya Choudhury et al This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.…”

Section: Introductionmentioning

confidence: 99%

Order Tracking Using Variational Mode Decomposition to Detect Gear Faults under Speed Fluctuations

2019

Self Cite

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Fault detection in gearboxes plays a significant role in ensuring their reliability. Vibration signals collected during gearbox operation contain a wealth of valuable condition information that can be exploited for fault detection. However, in an industrial environment machine operating speed always fluctuates around its nominal value, which causes smearing of the gearbox vibration spectrum. Considering operating speed fluctuation and multi-component nature of measured gearbox vibration signals, an order-tracking method combining the variational mode decomposition (VMD) and the fast dynamic time warping (FDTW) is proposed in this paper. Firstly, the multi-component vibration signal is decomposed into several intrinsic mode functions (IMFs) using VMD in order to extract a signal component with higher signal-to-noise ratio (SNR). Then, the sensitive fault information carrying IMF is exploited to estimate the instantaneous speed profile in order to construct the shaft rotational vibration signal. The measured vibration signal is then resampled based on the optimal warping path obtained by FDTW, which performs an “elastic” stretching and compression along the time axis of the extracted shaft vibration signal with respect to a sinusoidal reference signal of constant shaft rotational frequency. Finally, the gear fault is detected by constructing the order spectrum of the resampled vibration signal. The effectiveness of the proposed algorithm is demonstrated using simulation results.

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“…Moreover, the order spectrum can be derived without a tachometer with the development of diagnostics on rotating machinery. 20,21 In most troubleshooting, not all modes and frequencies are worth equal importance. In this case, the operating deflection shape (ODS) method can be employed to provide the dynamic behavior of the systems at the concerned frequency or moment.…”

Section: Introductionmentioning

confidence: 99%

An experimental investigation of resonance sources and vibration transmission for a pure electric bus

Zeng

Tan

Ding

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part D:

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Electric vehicles generally have a better noise, vibration, and harshness quality than traditional vehicles due to the relatively quiet electric motors. By contrast, the noise, vibration, and harshness issues of the driveline system become more outstanding and significant in the absence of the “masking effect” by the engine. The electrification of the powertrain has also brought many changes in the sources or transmission of vibration, which has led to some new noise, vibration, and harshness issues. Specifically, the intense vibration of the prototype bus appears when driving in third gear, which makes the passengers uncomfortable. This paper presents an efficient analytical strategy for identifying the resonance sources and vibration transmission for a pure electric bus. The strategy incorporates order analysis, operating deflection shape, and transfer path analysis. Order analysis shows that the resonance is primarily caused by the second-order excitation associated with the driveline, and the vibration sources are further identified using operating deflection shape analysis. Moreover, the vibration transfer paths from the driveline to the bus floor are quantitatively determined by the transfer path analysis method. The results show that the coupling vibration of the powertrain and the rear drive axle, which amplifies the resonance of the whole driveline, is transmitted to the bus floor primarily through powertrain mounts and V rods. Based on the results, the design and structure modifications of the driveline and transfer paths are recommended to handle this issue. The proposed identification strategy would be beneficial for accurate and efficient engineering troubleshooting on the vibration issues.

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A novel vibration-based fault diagnostic algorithm for gearboxes under speed fluctuations without rotational speed measurement

Cited by 50 publications

References 33 publications

Vibration Analysis for Fault Detection of Wind Turbine Drivetrains—A Comprehensive Investigation

Vibration Analysis for Fault Detection of Wind Turbine Drivetrains—A Comprehensive Investigation

Order Tracking Using Variational Mode Decomposition to Detect Gear Faults under Speed Fluctuations

An experimental investigation of resonance sources and vibration transmission for a pure electric bus

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