A Robust Model-Based Approach for Bearing Remaining Useful Life Prognosis in Wind Turbines

Teng, Wei; Han, Chunyan; Hu, Yankang; Cheng, Xin; Song, Lei

doi:10.1109/access.2020.2978301

Cited by 27 publications

(9 citation statements)

References 27 publications

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“…The calculation of the remaining life of wind turbines under site-specific conditions was mainly based on fatigue life analysis, i.e., DLC1.2, DLC3.1, DLC4.1, and DLC6.4 conditions in IEC61400-1 [1], where DLC1.2 and DLC6.4 were the main loads. By comparing the actual operating load with the design load, the fatigue damage and average expected life of each component during the actual operation of the wind turbine could be obtained [12,13]. The procedure of the site-specific load comparison method is shown in Figure 1, and the details are as follows:…”

Section: Site-specific Load Comparison Methods For Life Analysis Of W...mentioning

confidence: 99%

Study of Site-specific Wind Turbine Residual Life based on Uncertainty Analysis

Zhang¹,

Zhang²,

Feng³

et al. 2023

J. Phys.: Conf. Ser.

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This paper investigated whether wind turbines have a residual life to ensure their continued safe and reliable operation after 20 years of design life. A modeling method for the load simulation of the wind turbine with a lack of design documents was proposed. A method for calculating the residual life of wind turbines based on site-specific load comparison analysis and uncertainty analysis was established. This method was applied to evaluate the residual life of 66 600 kW wind turbines at an old wind farm in northwest China. The equivalent loads of the turbine components were calculated under design conditions and actual operating conditions, and the residual lives of the turbine components were further evaluated by uncertainty analysis. The results showed that all components of these wind turbines had a residual life after operating over their 20-year design lives, and the wind farm could continue operating for at least 4.6 years.

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Section: Site-specific Load Comparison Methods For Life Analysis Of W...mentioning

confidence: 99%

Study of Site-specific Wind Turbine Residual Life based on Uncertainty Analysis

Zhang¹,

Zhang²,

Feng³

et al. 2023

J. Phys.: Conf. Ser.

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“…This reliance is risky and can result in inaccurate forecasts when any trend changes or the data ends during a fluctuation. More complex systems such as Bayesian Networks [118,120] and fuzzy logic systems [119,120] have been developed for data-driven prognostic projections. These applications can extract useful knowledge from complex data in various forms but the prognostic accuracy in multistep ahead predictions is limited in cases where long projections are expected but test trajectories are short.…”

Section: Data-based Modelmentioning

confidence: 99%

Fault diagnosis and health management of bearings in rotating equipment based on vibration analysis – a review

Althubaiti¹,

Elasha²,

Teixeira³

2021

J. vibroeng.

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There is an ever-increasing need to optimise bearing lifetime and maintenance cost through detecting faults at earlier stages. This can be achieved through improving diagnosis and prognosis of bearing faults to better determine bearing remaining useful life (RUL). Until now there has been limited research into the prognosis of bearing life in rotating machines. Towards the development of improved approaches to prognosis of bearing faults a review of fault diagnosis and health management systems research is presented. Traditional time and frequency domain extraction techniques together with machine learning algorithms, both traditional and deep learning, are considered as novel approaches for the development of new prognosis techniques. Different approaches make use of the advantages of each technique while overcoming the disadvantages towards the development of intelligent systems to determine the RUL of bearings. The review shows that while there are numerous approaches to diagnosis and prognosis, they are suitable for certain cases or are domain specific and cannot be generalised.

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“…The key concept of physics‐based prognostics is to exploit measured data to decrease the uncertainty in degradation model parameters. For this purpose, mostly Bayesian inference algorithms like KF, 82 the EKF, 83 the PF, 84,85 and the Bayesian method 86,87 are used. There are also frequentist approaches in which only historical data are used to estimate the model parameters of interest 88 .…”

Section: Diagnostics and Prognostics Approachesmentioning

confidence: 99%

Diagnostics and prognostics for complex systems: A review of methods and challenges

Soleimani

Campean

Neagu

2021

Quality & Reliability Eng

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Diagnostics and prognostics have a significant role in the reliability enhancement of systems and are focused topics of active research. Engineered systems are becoming more complex and are subjected to miscellaneous failure modes that impact adversely their performability. This ever‐increasing complexity makes fault diagnostics and prognostics challenging for the system‐level functions. A significant number of successes have been achieved and acknowledged in some review papers; however, these reviews rarely focused on application to complex engineered systems nor provided a systematic review of diverse techniques and approaches to address the related challenges. To bridge the gap, this paper first presents a review to systematically cover the general concepts and recent development of various diagnostics and prognostics approaches, along with their strengths and shortcomings for the application of diverse engineered systems. Afterwards, given the characteristics of complex systems, the applicability of different techniques and methods that are capable to address the features of complex systems are reviewed and discussed, and some of the recent achievements in the literature are introduced. Finally, the unaddressed challenges are discussed by taking into account the characteristics of automotive systems as an example of complex systems. In addition, future development and potential research trends are offered to address those challenges. Consequently, this review provides a systematic view of the state‐of‐the‐art and case studies with a reference value for scholars and practitioners.

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A Robust Model-Based Approach for Bearing Remaining Useful Life Prognosis in Wind Turbines

Cited by 27 publications

References 27 publications

Study of Site-specific Wind Turbine Residual Life based on Uncertainty Analysis

Study of Site-specific Wind Turbine Residual Life based on Uncertainty Analysis

Fault diagnosis and health management of bearings in rotating equipment based on vibration analysis – a review

Diagnostics and prognostics for complex systems: A review of methods and challenges

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