Planet gear fault localization for wind turbine gearbox using acoustic emission signals

2017 ◽  
Vol 109 ◽  
pp. 449-460 ◽  
Author(s):  
Yu Zhang ◽  
Wenxiu Lu ◽  
Fulei Chu
Keyword(s):  
Acoustic Emission ◽  
Wind Turbine ◽  
Fault Localization ◽  
Wind Turbine Gearbox ◽  
Gear Fault ◽  
Planet Gear

A Planet Bearing Fault Case of Wind Turbine Gearbox

2014 ◽  
Vol 953-954 ◽  
pp. 472-477 ◽  
Author(s):  
Jia Xu ◽  
Jin Zhang ◽  
Tie Chen ◽  
Rui Hua Liu
Keyword(s):  
Wind Power ◽  
Typical Case ◽  
Wind Turbine Gearbox ◽  
Power Generator ◽  
Bearing Fault ◽  
Gear Fault ◽  
Wind Power Generator ◽  
Speed Up ◽  
Planet Gear ◽  
Doubly Fed

Doubly-fed wind power generator takes the largest share of wind energy. However, as the most important part, the speed-up gearbox is easy to be damaged. The existing researches about gearbox faults are mainly about gear fault, the study of bearing fault is relatively less compared with gear fault, expecially for the bearing fault of planet gear. This article presents a typical case of bearing fault about planet gear, which contains the cause of vibration behaviour and the analysis of fault.

scholarly journals An experimental study on the applicability of acoustic emission for wind turbine gearbox health diagnosis

2016 ◽  
Vol 35 (1) ◽  
pp. 64-76 ◽  
Author(s):  
Juan Luis Ferrando Chacon ◽  
Estefania Artigao Andicoberry ◽  
Vassilios Kappatos ◽  
Mayorkinos Papaelias ◽  
Cem Selcuk ◽  
...  
Keyword(s):  
Experimental Study ◽  
Acoustic Emission ◽  
Wind Turbine ◽  
Wind Turbine Gearbox ◽  
Health Diagnosis

Use of AE Testing Data for Condition Monitoring in Wind Turbine Gearbox

2014 ◽  
Vol 1070-1072 ◽  
pp. 1893-1897 ◽  
Author(s):  
Hong Wu Qin ◽  
Fu Cheng Cao ◽  
Qin Yin Fan ◽  
Maimai Jiang Aishan
Keyword(s):  
Acoustic Emission ◽  
Wind Turbine ◽  
Operating Time ◽  
Wave Radiation ◽  
Material Structure ◽  
Amplitude Analysis ◽  
Wind Turbine Gearbox ◽  
Local Material ◽  
Ae Signal ◽  
The Individual

Acoustic emission (AE) method of nondestructive check is based on exertion wave radiation and their registration during fast local material structure reorganization. It is used as a means of analysis of materials, constructions, productions control and diagnosis during operating time. In the article, it is applied to structural health monitoring of Wind Turbine Gearbox (WTG). Acoustic emission testing has been used for years to test metallic structures. More recently it has become the primary method of testing WTG; all are present in the failure of WTG. AE has been very successful at detecting all of these failure mechanisms and sometimes identifying them from amplitude analysis of the AE signals. However in large structures, the high acoustic attenuation in WTG precludes amplitude analysis unless the origin of the individual signals can be identified and corrections for the distances traveled applied to the signal amplitudes. The usual method of testing WTG structures has been to apply an array of sensors spaced so that a moderate amplitude AE signal occurring midway between them will just barely trigger each sensor.

scholarly journals Operating Behavior of Sliding Planet Gear Bearings for Wind Turbine Gearbox Applications—Part II: Impact of Structure Deformation

Lubricants ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 98
Author(s):  
Thomas Hagemann ◽  
Huanhuan Ding ◽  
Esther Radtke ◽  
Hubert Schwarze
Keyword(s):  
Wind Turbine ◽  
Peak Load ◽  
Planetary Gear ◽  
Operating Conditions ◽  
Wind Turbine Gearbox ◽  
Structure Deformation ◽  
Drive Trains ◽  
Planet Gear ◽  
The Impact ◽  
Bearing Analysis

The use of planetary gear stages intends to increase power density in drive trains of rotating machinery. Due to lightweight requirements on this type of machine elements, structures are comparably flexible while mechanical loads are high. This study investigates the impact of structure deformation on sliding planet gear bearings applied in the planetary stages of wind turbine gearboxes with helical gears. It focuses on three main objectives: (i) development of a procedure for the time-efficient thermo-elasto-hydrodynamic (TEHD) analysis of sliding planet gear bearing; (ii) understanding of the specific deformation characteristics of this application; (iii) investigation of the planet gear bearing’s modified operating behavior, caused by the deformation of the sliding surfaces. Generally, results indicate an improvement of predicted operating conditions by consideration of structure deformation in the bearing analysis for this application. Peak load in the bearing decreases because the loaded proportion of the sliding surface increases. Moreover, tendencies of single design measures, determined for rigid geometries, keep valid but exhibit significantly different magnitudes under consideration of structure deformation. Results show that consideration of structure flexibility is essential for sliding planet gear bearing analysis if quantitative assertions on load distributions, wear phenomena, and interaction of the bearing with other components are required.

Wind Turbine Gearbox Planetary Stage Gear Damage Detection Using Vibration Data

2014 ◽  
Author(s):  
Jesse Hanna ◽  
Huageng Luo
Keyword(s):  
Wind Turbine ◽  
Condition Monitoring ◽  
Vibration Signal ◽  
Variable Speed ◽  
Wind Turbine Gearbox ◽  
Vibration Data ◽  
Planet Gear ◽  
Condition Monitoring System ◽  
The Many ◽  
Many Sources

Effective vibration based condition monitoring applied to the planetary stage of a wind turbine gearbox has been historically difficult. Numerous complications associated with the low speed and variable speed nature of a wind turbine gearbox as well as the many sources of vibration signal modulation and poor vibration transmission paths within the planetary stage itself have presented complex challenges around effectively monitoring the health of planetary stage components. The focus of this paper is the vibration behavior of planetary stage gear related damage and how this behavior can be accurately identified using vibration data. The theory behind this behavior and a case history showing the successful detection of planet gear damage and ring gear damage is presented. The damage detailed in this case is clearly identifiable in the data provided by the ADAPT.Wind condition monitoring system. Although this type of damage requires a gearbox replacement, prompt detection is important to avoid the risk of splitting the gearbox casing and damaging additional wind turbine components.

Wind Turbine Planetary Gear Fault Identification Using Statistical Condition Indicators and Machine Learning

2019 ◽  
Author(s):  
Cédric Peeters ◽  
Timothy Verstraeten ◽  
Ann Nowé ◽  
Jan Helsen
Keyword(s):  
Machine Learning ◽  
Signal Processing ◽  
Wind Turbine ◽  
Health Indicators ◽  
Planetary Gear ◽  
Wind Turbine Gearbox ◽  
Data Set ◽  
Vibration Data ◽  
Gearbox Vibration ◽  
Gear Fault

Abstract This work describes an automated condition monitoring framework to process and analyze vibration data measured on wind turbine gearboxes. The current state-of-the-art in signal processing often leads to a large quantity in health indicators thanks to the multiple potential pre-processing steps. Such large quantities of indicators become unfeasible to inspect manually when the data volume and the number of monitored turbines increases. Therefore, this paper proposes a hybrid analysis approach that combines advanced signal processing methods with machine learning and anomaly detection. This approach is investigated on an experimental wind turbine gearbox vibration data set. It is found that the combination of physics-based statistical indicators with machine learning is capable of detecting planetary gear stage damage and significantly simplifying the data analysis and inspection in the process.

scholarly journals A New Acoustic Emission Sensor Based Gear Fault Detection Approach

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Yongzhi Qu ◽  
Eric Bechhoefer ◽  
David He ◽  
Junda Zhu
Keyword(s):  
Acoustic Emission ◽  
Fault Detection ◽  
Wind Turbine ◽  
Gear Tooth ◽  
Sampling Rate ◽  
Signal Frequency ◽  
Maintenance Cost ◽  
Detection Approach ◽  
Gear Fault ◽  
Ae Signal

In order to reduce wind energy costs, prognostics and health management (PHM) of wind turbine is needed to reduce operations and maintenance cost of wind turbines. The major cost on wind turbine repairs is due to gearbox failure. Therefore, developing effective gearbox fault detection tools is important in the PHM of wind turbine. PHM system allows less costly maintenance because it can inform operators of needed repairs before a fault causes collateral damage happens to the gearbox. In this paper, a new acoustic emission (AE) sensor based gear fault detection approach is presented. This approach combines a heterodyne based frequency reduction technique with time synchronous average (TSA) and spectral kurtosis (SK) toprocess AE sensor signals and extract features as condition indictors for gear fault detection. Heterodyne techniques commonly used in communication are used to preprocess the AE signals before sampling. By heterodyning, the AE signal frequency is down shifted from MHz to below 50 kHz. This reduced AE signal sampling rate is comparable to that of vibration signals. The presented approach is validated using seeded gear tooth crack fault tests on a notational split torque gearbox. The approach presented in this paper is physics based and the validation results have showed that it could effectively detect the gear faults.

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