scholarly journals Vibration-based synchronous sampling and its application in wind-turbine drive-train-condition monitoring

Clean Energy ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 79-92
Author(s):  
Ting Hu ◽  
Hongyi Wan ◽  
Huageng Luo
Keyword(s):  
Wind Turbine ◽  
Frequency Response ◽  
Numerical Integration ◽  
Condition Monitoring ◽  
Vibration Response ◽  
Integration Scheme ◽  
Shaft Speed ◽  
Response Component ◽  
Synchronous Sampling ◽  
Instantaneous Phase

Abstract Utilizing shaft-speed information to analyse vibration signals is an important method for fault diagnosis and condition monitoring of rotating machineries, especially for those running at variable speeds. However, in many cases, shaft-speed information is not always available, for a variety of reasons. Fortunately, in most of the measurements, the shaft-speed information is embedded in the vibration response in many different forms, such as in the format of the fundamental shaft-rotation-frequency response and its harmonics, and the gear-meshing-frequency response and its harmonics, etc. Proper signal processing can be used to extract the shaft instantaneous speed from the measured vibration responses. In existing instantaneous shaft-speed-identification methods, a narrow-bandpass filtering technique is used explicitly or implicitly. In a complex gearbox system, such as that used in a wind turbine, the gear-meshing-response component could be modulated by many other shaft speeds, due to the configuration of the gearbox or due to the existence of component damage. As a result, it is very difficult to isolate a single vibration-response component for instantaneous shaft-speed detection. In this paper, an innovative approach is presented. The instantaneous shaft speed is extracted based on maxima tracking from the vibration-response spectrogram. A numerical integration scheme is employed to obtain the shaft instantaneous phase. Digital-domain synchronous resampling is then applied to the vibration data by using the instantaneous phase information. Due to the nature of noise suppression in the numerical integration, the accuracy of synchronous sampling is greatly improved. This proposed approach demonstrates the feasibility and engineering applicability through a controlled laboratory test case and two field wind-turbine cases. More detailed results and conclusions of this research are presented at the end of this paper.

Synchronous Analysis in Wind Turbine Gearbox Condition Monitoring

2012 ◽  
Author(s):  
Huageng Luo ◽  
Mingqi Luo ◽  
Shaobo Zhang
Keyword(s):  
Wind Turbine ◽  
Condition Monitoring ◽  
Signal To Noise Ratio ◽  
Sampling Technique ◽  
Signal To Noise ◽  
High Count ◽  
Wind Turbine Gearbox ◽  
Synchronous Sampling ◽  
Accuracy And Precision ◽  
Bearing Damage

This paper summarizes the application of “synchronous sampling” technique in the digital domain to enhance the signal-to-noise ratio in detection of wind turbine gear and bearing damage signatures. In this technique, only a once-per-revolution Key Phaser or a low-count Encoder signal is required. High-count synchronous sampling is achieved by resampling in the digital domain. Implementation and demonstration of the aforementioned techniques are illustrated in two current wind turbine field operation examples. The improvement in the accuracy and precision of damage feature extractions is demonstrated.

scholarly journals Unit Commitment with Tunable Frequency Response from Wind Turbine Generators

2021 ◽  
Vol 645 ◽  
pp. 012025
Author(s):  
Juelin Liu ◽  
Juan Yu ◽  
Song Rui ◽  
Junkai Huang ◽  
Wang Xuebin ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Frequency Response ◽  
Unit Commitment ◽  
Turbine Generators ◽  
Wind Turbine Generators ◽  
Tunable Frequency

scholarly journals Identification of relevant acoustic transfer paths for WT drivetrains with an operational transfer path analysis

2021 ◽  
Author(s):  
W. Schünemann ◽  
R. Schelenz ◽  
G. Jacobs ◽  
W. Vocaet
Keyword(s):  
Path Analysis ◽  
Wind Turbine ◽  
Frequency Response ◽  
Mechanical System ◽  
Reference Point ◽  
Response Functions ◽  
Frequency Response Functions ◽  
Transfer Path ◽  
Transfer Path Analysis ◽  
Turbine Model

AbstractThe aim of a transfer path analysis (TPA) is to view the transmission of vibrations in a mechanical system from the point of excitation over interface points to a reference point. For that matter, the Frequency Response Functions (FRF) of a system or the Transmissibility Matrix is determined and examined in conjunction with the interface forces at the transfer path. This paper will cover the application of an operational TPA for a wind turbine model. In doing so the path contribution of relevant transfer paths are made visible and can be optimized individually.

scholarly journals Optimal Preventive Maintenance of Wind Turbine Components with Imperfect Continuous Condition Monitoring

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3801 ◽  
Author(s):  
Ahmed Raza ◽  
Vladimir Ulansky
Keyword(s):  
Wind Turbine ◽  
Condition Monitoring ◽  
Preventive Maintenance ◽  
False Negative ◽  
Maintenance Cost ◽  
Arbitrary Distribution ◽  
Average Lifetime ◽  
True Negative ◽  
Degradation Failure ◽  
Lifetime Maintenance

Among the different maintenance techniques applied to wind turbine (WT) components, online condition monitoring is probably the most promising technique. The maintenance models based on online condition monitoring have been examined in many studies. However, no study has considered preventive maintenance models with incorporated probabilities of correct and incorrect decisions made during continuous condition monitoring. This article presents a mathematical model of preventive maintenance, with imperfect continuous condition monitoring of the WT components. For the first time, the article introduces generalized expressions for calculating the interval probabilities of false positive, true positive, false negative, and true negative when continuously monitoring the condition of a WT component. Mathematical equations that allow for calculating the expected cost of maintenance per unit of time and the average lifetime maintenance cost are derived for an arbitrary distribution of time to degradation failure. A numerical example of WT blades maintenance illustrates that preventive maintenance with online condition monitoring reduces the average lifetime maintenance cost by 11.8 times, as compared to corrective maintenance, and by at least 4.2 and 2.6 times, compared with predetermined preventive maintenance for low and high crack initiation rates, respectively.

Sign in / Sign up

Export Citation Format

Share Document