Failure analysis of a hydraulic power system in the wind turbine

Lee, Yongbum; Lee, Gi-Chun; Yang, Jong-dae; Park, Jong-won; Baek, Donkyu

doi:10.1016/j.engfailanal.2019.104218

Cited by 16 publications

(12 citation statements)

References 11 publications

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“…The generator and gearbox have complex internal structures, and the failure principles are diverse and coupled. However, most of the failures will eventually lead to abnormal temperature rise of the generator and gearbox oil [16], [23].…”

Section: A Algorithm Overviewmentioning

confidence: 99%

Research on Fault Diagnosis of Wind Turbine Based on SCADA Data

Liu

Wang

2020

IEEE Access

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Effective early warning of wind turbine failures is of great significance to reduce the operation and maintenance costs of wind farms and improve power generation efficiency. At present, most wind farms are installed with supervisory control and data acquisition (SCADA) system, and SCADA data contains a lot of hidden information, which can be used for fault early warning. This paper uses the generator temperature and gearbox oil temperature in the SCADA data as the entry point for fault warning. Firstly, the eXtreme gradient boosting (XGBoost) algorithm is used to establish the normal temperature regression prediction model of wind turbine components. Then, the residual between the predicted value and the actual value is calculated, and the change trend of the residual is monitored by the principle of exponentially weighted moving-average (EWMA) control chart. Finally, by setting an appropriate threshold, the variation trend of the residual is judged to determine the occurrence and development of the fault. This paper uses two fault detection methods: fixed threshold and dynamic threshold based on adaptive algorithm, and compares the advantages and disadvantages of the two methods. Based on the SCADA data of a wind farm in Inner Mongolia (China), this paper designs the fault early warning test of the wind turbine generator and gearbox. The experimental results show that for the generator, the fixed fault threshold method can give the fault alarm 3 hours in advance, while the dynamic fault threshold determination method can give fault alarm 4.25 hours in advance. For gearbox, the fixed fault threshold method can give the fault alarm 2 hours in advance, while the dynamic threshold fault diagnosis method can send out the fault alarm 2.75 hours in advance. INDEX TERMS Wind turbine; Fault warning; eXtreme gradient boosting (XGBoost); exponentially weighted moving-average (EWMA); supervisory control and data acquisition (SCADA)

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Section: A Algorithm Overviewmentioning

confidence: 99%

Research on Fault Diagnosis of Wind Turbine Based on SCADA Data

Liu

Wang

2020

IEEE Access

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“…Fluid power systems and their components must be highly reliable, their potential failures must be recognized early and investigated, and corrective plans must be prepared. Research on their failures and reliability is conducted using qualitative and quantitative tools and methods individually or together [2][3][4]. One of the widely used methods is the FMEA (failure modes and effects analysis).…”

Section: Introductionmentioning

confidence: 99%

A Concept of Risk Prioritization in FMEA Analysis for Fluid Power Systems

2021

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FMEA analysis is a tool of quality improvement that has been widely used for decades. Its classical version prioritizes risk of failure by risk priority number (RPN). The RPN is a product of severity (S), occurrence (O), and detection (D), where all of the factors have equal levels of significance. This assumption is one of the most commonly criticized drawbacks, as it has given unreasonable results for real-world applications. The RPN can produce equal values for combinations of risk factors with different risk implications. Another issue is that of the uncertainties and subjectivities of information employed in FMEA analysis that may arise from lack of knowledge, experience, and employed linguistic terms. Many alternatives of risk assessment methods have been proposed to overcome the weaknesses of classical FMEA risk management in which we can distinguish methods of modification of RPN numbers of employing new tools. In this study, we propose a modification of the traditional RPN number. The main difference is that severity and occurrence are valued based on subfactors. The detection number remained unchanged. Additionally, the proposed method prioritizes risk in terms of implied risk to the systems by implementing functional failures (effects of potential failures). A typical fluid power system was used to illustrate the application of this method. The method showed the correct failure classification, which meets the industrial experience and other research results of failures of fluid power systems.

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“…Wind turbine brake system plays an important role when there is storm condition. Most of the modern wind turbines use the friction brakes to control the rotation of the rotor of the wind turbine [5]. The brake pads are the important part to slower or stop the rotation of the rotor in strong wind situation.…”

Section: Introductionmentioning

confidence: 99%

“…Braking plateMathematical expression for B is in(5). Here B denotes magnetic flux density and magnetic intensity denotes by H. represent the permeability of the atmosphere.…”

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confidence: 99%

See 1 more Smart Citation

Alternative Braking Method for Small Scaled-Wind Turbines Connected DC Green House with Analogical Experiment on Blade Destruction

Koswatta¹,

Alsharif²,

Shiroma³

et al. 2020

Adv. sci. technol. eng. syst. j.

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To supply a stable and efficient electricity, small-scaled wind turbine's brake system plays an immense role in various wind speeds. Small-wind power generation systems are difficult to operate in strong wind region since the turbine could be over-rotated and damaged if the brake system is not robust enough to maintain a stable angular velocity. Most of the smallscaled wind turbines use friction brakes to control the turbine speed for a stable electricity output. Since the friction brake are run out of time and needs frequent maintenance and eventually replacement, we introduce an eddy current based wind turbine brake system which is contactless with the rotor as an alternative to the friction brake system. The advantage of the proposed brake system is that the energy loss due to the friction will be reduced and will be more durable than the friction brake. The flow of this study is at first we did the analogical experiment of blade destruction to set to the maximum allowed angular velocity. Later, in order to verify the performance and stability requirement the mathematical implementation of eddy current brake system have done in DC-Green house for various wind penetration. Eventually the feasibility of eddy current brake system is confirmed in simulation results.

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Failure analysis of a hydraulic power system in the wind turbine

Cited by 16 publications

References 11 publications

Research on Fault Diagnosis of Wind Turbine Based on SCADA Data

Research on Fault Diagnosis of Wind Turbine Based on SCADA Data

A Concept of Risk Prioritization in FMEA Analysis for Fluid Power Systems

Alternative Braking Method for Small Scaled-Wind Turbines Connected DC Green House with Analogical Experiment on Blade Destruction

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