Vibration-based wind turbine planetary gearbox fault diagnosis using spectral averaging

Wind Energy ◽  
2015 ◽  
Vol 19 (9) ◽  
pp. 1733-1747 ◽  
Author(s):  
Jae Yoon ◽  
David He ◽  
Brandon Van Hecke ◽  
Thomas J. Nostrand ◽  
Junda Zhu ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Wind Turbine ◽  
Planetary Gearbox ◽  
Spectral Averaging

scholarly journals Wind Turbine Planetary Gearbox Fault Diagnosis Based on Self-Powered Wireless Sensor and Deep Learning Approach

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 119430-119442 ◽  
Author(s):  
Li Lu ◽  
Yigang He ◽  
Tao Wang ◽  
Tiancheng Shi ◽  
Yi Ruan
Keyword(s):  
Deep Learning ◽  
Fault Diagnosis ◽  
Wind Turbine ◽  
Wireless Sensor ◽  
Learning Approach ◽  
Planetary Gearbox ◽  
Self Powered

scholarly journals Application of Reassigned Wavelet Scalogram in Wind Turbine Planetary Gearbox Fault Diagnosis under Nonstationary Conditions

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Xiaowang Chen ◽  
Zhipeng Feng
Keyword(s):  
Fault Diagnosis ◽  
Wind Turbine ◽  
Frequency Resolution ◽  
Vibration Signals ◽  
Cross Term ◽  
Planetary Gearbox ◽  
Time Frequency ◽  
Gear Fault ◽  
Nonstationary Conditions

Wind turbine planetary gearboxes often run under nonstationary conditions due to volatile wind conditions, thus resulting in nonstationary vibration signals. Time-frequency analysis gives insight into the structure of an arbitrary nonstationary signal in joint time-frequency domain, but conventional time-frequency representations suffer from either time-frequency smearing or cross-term interferences. Reassigned wavelet scalogram has merits of fine time-frequency resolution and cross-term free nature but has very limited applications in machinery fault diagnosis. In this paper, we use reassigned wavelet scalogram to extract fault feature from wind turbine planetary gearbox vibration signals. Both experimental and in situ vibration signals are used to evaluate the effectiveness of reassigned wavelet scalogram in fault diagnosis of wind turbine planetary gearbox. For experimental evaluation, the gear characteristic instantaneous frequency curves on time-frequency plane are clearly pinpointed in both local and distributed sun gear fault cases. For in situ evaluation, the periodical impulses due to planet gear fault are also clearly identified. The results verify the feasibility and effectiveness of reassigned wavelet scalogram in planetary gearbox fault diagnosis under nonstationary conditions.

scholarly journals Comparative case studies on ring gear fault diagnosis of planetary gearboxes using vibrations and acoustic emissions

2021 ◽  
Author(s):  
Félix Leaman ◽  
Ralph Baltes ◽  
Elisabeth Clausen
Keyword(s):  
Fault Diagnosis ◽  
Wind Turbine ◽  
Case Studies ◽  
Vibration Analysis ◽  
Acoustic Emissions ◽  
Wind Turbine Gearbox ◽  
Planetary Gearbox ◽  
Vibration Sensors ◽  
Comparative Case Studies

AbstractThe analysis of vibrations and acoustic emissions (AE) are two recognized non-destructive techniques used for machine fault diagnosis. In recent years, the two techniques have been comparatively evaluated by different researchers with experimental tests. Several evaluations have shown that the AE analysis has a higher potential than the vibration analysis for fault diagnosis of mechanical components for certain cases. However, the distance between the AE sensor and the fault is an important factor that can considerably decrease the potential to detect damage and that has not been sufficiently investigated. Moreover, the comparisons have not yet addressed conditions of slow speed that for example are usual for wind turbine gearboxes. Therefore, in this paper we present two comparative case studies that address both topics. Both case studies consider planetary gearboxes with faults in their ring gears. The first case study corresponds to a small planetary gearbox in which the AE and vibration sensors were installed together at two different positions. The second case study corresponds to a full-size wind turbine gearbox in which three pairs of AE and vibration sensors were installed on the outside of the ring gear from a low-speed planetary stage. The results of the evaluations demonstrate the important influence of the distance between sensors and fault. Despite this, the good results from the AE analysis indicate that this technique should be considered as an important complement to the traditional vibration analysis. The main contribution of this paper is comparing AE and vibration analysis by using not only experimental data from a small planetary gearbox but also from a full-size wind turbine gearbox. The comparison addresses the topics of proximity of the sensor to the fault and low-speed conditions.

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