Condition based maintenance optimization for wind power generation systems under continuous monitoring

doi:10.1016/J.RENENE.2010.10.028

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Condition based maintenance optimization for wind power generation systems under continuous monitoring

Journal Article•DOI•

Condition based maintenance optimization for wind power generation systems under continuous monitoring

Zhigang Tian¹, Tongdan Jin², Bairong Wu¹, Fangfang Ding¹•Institutions (2)

Concordia University Wisconsin¹, Texas State University²

01 May 2011-Renewable Energy (Pergamon)-Vol. 36, Iss: 5, pp 1502-1509

TL;DR: In this paper, an optimal condition-based maintenance (CBM) strategy for wind power generation systems is proposed, which is defined by two failure probability threshold values at the wind turbine level.

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About: This article is published in Renewable Energy.The article was published on 2011-05-01. It has received 322 citations till now. The article focuses on the topics: Condition-based maintenance & Predictive maintenance.

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Journal Article•DOI•

A review on condition-based maintenance optimization models for stochastically deteriorating system

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Suzan Alaswad¹, Yisha Xiang²•Institutions (2)

Zayed University¹, Lamar University²

01 Jan 2017-Reliability Engineering & System Safety

TL;DR: A review of CBM literature with emphasis on mathematical modeling and optimization approaches, and classifies the literature on CBM models based on the underlying deterioration processes, namely discrete- and continuous-state deterioration, and proportional hazard model.

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510 citations

Journal Article•DOI•

An Artificial Neural Network Approach for Early Fault Detection of Gearbox Bearings

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Pramod Bangalore¹, Lina Bertling Tjernberg²•Institutions (2)

Chalmers University of Technology¹, Royal Institute of Technology²

16 Jan 2015-IEEE Transactions on Smart Grid

TL;DR: A self-evolving maintenance scheduler framework for maintenance management of wind turbines is introduced and an artificial neural network (ANN)-based condition monitoring approach using data from supervisory control and data acquisition system is proposed.

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Abstract: Gearbox has proven to be a major contributor toward downtime in wind turbines. The majority of failures in the gearbox originate from the gearbox bearings. An early indication of possible wear and tear in the gearbox bearings may be used for effective predictive maintenance, thereby reducing the overall cost of maintenance. This paper introduces a self-evolving maintenance scheduler framework for maintenance management of wind turbines. Furthermore, an artificial neural network (ANN)-based condition monitoring approach using data from supervisory control and data acquisition system is proposed. The ANN-based condition monitoring approach is applied to gearbox bearings with real data from onshore wind turbines, rated 2 MW, and located in the south of Sweden. The results demonstrate that the proposed ANN-based condition monitoring approach is capable of indicating severe damage in the components being monitored in advance.

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288 citations

Cites background from "Condition based maintenance optimiz..."

...In recent years, maintenance management of wind turbines has received increased attention, with efforts toward reducing the maintenance cost and downtimes by focusing on predictive condition-based maintenance instead of unscheduled corrective maintenance (CM) [2]–[5]....
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Journal Article•DOI•

Condition-based maintenance policies for systems with multiple dependent components: a review

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Minou C.A. Olde Keizer¹, Simme Douwe P. Flapper², Ruud H. Teunter•Institutions (2)

University of Groningen¹, Eindhoven University of Technology²

01 Sep 2017-European Journal of Operational Research

TL;DR: The main focus is on the implications of dependencies on the structure of the optimal CBM policy, and a review of the advances made with respect to CBM is linked to practice by providing real-life examples, thereby stressing current gaps in the literature.

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278 citations

Cites background from "Condition based maintenance optimiz..."

...…system, and prev. replacement (if no corr. replacements): for subsystem Maintenance initiation and maintenance ceasing on subsystem Periodic: fixed Tian et al. (2011b) Preventive replacement (if no corrective replacements) Opportunistic replacement and preventive replacement Periodic:…...
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...This type of opportunistic clustering is considered by Wijnmalen and Hontelez (1997), Castanier et al. (2005), Tian and Liao (2011), Tian et al. (2011b), Koochaki et al. (2012), Huynh et al. (2013), Koochaki et al. AC CE PT ED M AN US CR IP T Table 6: Summary of contributions on CBM that apply…...
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...…deterioration thresholds Tian and Liao (2011) Preventive replacement Opportunistic replacement and preventive replacement Periodic: fixed Tian et al. (2011a) Any replacement: for system, and prev. replacement (if no corr. replacements): for subsystem Maintenance initiation and…...
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...…Workers Spares Barbera et al. (1999) X X Marseguerra et al. (2002) X X X Castanier et al. (2005) X X Camci (2009) X X X Tan et al. (2011) X X Tian et al. (2011a) X X Zhang et al. (2011) X X Koochaki et al. (2012) X X Mercier and Pham (2012) X X Zhang et al. (2012) X X Huynh et al. (2013) X…...
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...This distinction between maintenance activities is made in Tian et al. (2011a), Van Horenbeek and Pintelon (2013), Do et al. (2015), Shafiee and Finkelstein (2015), and Shafiee et al. (2015)....
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Journal Article•DOI•

Prognostics and Health Management: A Review on Data Driven Approaches

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Kwok L. Tsui, Nan Chen¹, Qiang Zhou, Yizhen Hai, Wenbin Wang², Wenbin Wang³ - Show less +2 more•Institutions (3)

National University of Singapore¹, University of Science and Technology Beijing², Manchester Metropolitan University³

19 May 2015-Mathematical Problems in Engineering

TL;DR: This paper provides a concise review of mainstream methods in major aspects of the PHM framework, including the updated research from both statistical science and engineering, with a focus on data-driven approaches.

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Abstract: Prognostics and health management (PHM) is a framework that offers comprehensive yet individualized solutions for managing system health. In recent years, PHM has emerged as an essential approach for achieving competitive advantages in the global market by improving reliability, maintainability, safety, and affordability. Concepts and components in PHM have been developed separately in many areas such as mechanical engineering, electrical engineering, and statistical science, under varied names. In this paper, we provide a concise review of mainstream methods in major aspects of the PHM framework, including the updated research from both statistical science and engineering, with a focus on data-driven approaches. Real world examples have been provided to illustrate the implementation of PHM in practice.

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267 citations

Cites background from "Condition based maintenance optimiz..."

...High fixed maintenance cost, such as sending a maintenance team to a remote wind farm, can bemitigated by replacing/repairingmultiple components simultaneously [123, 126, 131, 132]....
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Journal Article•DOI•

A review of wind turbine bearing condition monitoring: State of the art and challenges

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Henrique Dias Machado de Azevedo¹, Alex Maurício Araújo¹, Nadège Bouchonneau¹•Institutions (1)

Federal University of Pernambuco¹

01 Apr 2016-Renewable & Sustainable Energy Reviews

TL;DR: In this article, the authors provide a review on wind turbine bearing condition monitoring techniques such as acoustic measurement, electrical effects monitoring, power quality, temperature monitoring, wear debris analysis and vibration analysis.

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Abstract: Since the early 1980s, wind power technology has experienced an immense growth with respect to both the turbine size and market share. As the demand for large-scale wind turbines and lor operation & maintenance cost continues to raise, the interest on condition monitoring system has increased rapidly. The main components of wind turbines are the focus of all CMS since they frequently cause high repair costs and equipment downtime. However, vast quantities of their failures are caused due to a bearing failure. Therefore, bearing condition monitoring becomes crucial. This paper aims at providing a state-of-the-art review on wind turbine bearing condition monitoring techniques such as acoustic measurement, electrical effects monitoring, power quality, temperature monitoring, wear debris analysis and vibration analysis. Furthermore, this paper will present a literature review and discuss several technical, financial and operational challenges from the purchase of the CMS to the wind farm monitoring stage.

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248 citations

Cites background from "Condition based maintenance optimiz..."

...In order words, the system performance is not well monitored, resulting in unexpected failures or there are an excessive number of maintenance activities resulting in a waste of resources [20]....
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References

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Open Access

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Book•

Wind turbines : fundamentals, technologies, application, economics

[...]

Erich Hau

01 Jan 2000

TL;DR: In this article, the basic concepts of wind energy converters are discussed and the physical principles of wind Energy conversion are discussed, as well as the physical and structural properties of wind turbines.

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Abstract: Windmills and Windwheels.- Electrical Power from the Wind - The First Attempts.- Basic Concepts of Wind Energy Converters.- Physical Principles of Wind Energy Conversion.- Rotor Aerodynamics.- Loads and Structural Stresses.- Rotor Blades.- Mechanical Drive Train and Nacelle.- Electrical System.- Control Systems and Operation Sequence Control.- Vibration Problems.- The Tower.- The Wind Resource.- Power Output and Energy Yield.- Environmental Impact.- Commercial Applications of Wind Turbines.- Offshore Wind Energy Utilisation.- Wind Turbine Installation and Operation.- Wind Turbine Costs.- Wind Turbine Economics.

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1,074 citations

"Condition based maintenance optimiz..." refers background in this paper

...Since the operation and maintenance costs represent a substantial portion of the total life cycle costs of wind power generation systems [1], reliability and maintenance management of wind turbines have drawn increasing interests for the reduction of these costs [2e5]....
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...Currently, the constant-interval maintenance policy is the maintenance policy that is adopted the most inwind power industry [1]....
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Journal Article•DOI•

Condition monitoring and fault detection of wind turbines and related algorithms: A review

[...]

Z. Hameed¹, Young-Sun Hong¹, Y.M. Cho¹, Sung-Hoon Ahn¹, C.K. Song² - Show less +1 more•Institutions (2)

Seoul National University¹, Gyeongsang National University²

01 Jan 2009-Renewable & Sustainable Energy Reviews

TL;DR: In this article, the authors reviewed different techniques, methodologies and algorithms developed to monitor the performance of wind turbine as well as for an early fault detection to keep away the wind turbines from catastrophic conditions due to sudden breakdowns.

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Abstract: Renewable energy sources like wind energy are copiously available without any limitation. Wind turbines are used to tap the potential of wind energy, which is available in millions of MW. Reliability of wind turbine is critical to extract this maximum amount of energy from the wind. We reviewed different techniques, methodologies and algorithms developed to monitor the performance of wind turbine as well as for an early fault detection to keep away the wind turbines from catastrophic conditions due to sudden breakdowns. To keep the wind turbine in operation, implementation of condition monitoring system (CMS) and fault detection system (FDS) is paramount and for this purpose ample knowledge of these two types of systems is mandatory. So, an attempt has been made in this direction to review maximum approaches related to CMS and FDS in this piece of writing.

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982 citations

Journal Article•DOI•

Residual-life distributions from component degradation signals: A Bayesian approach

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Nagi Gebraeel¹, Mark Lawley¹, Rong Li¹, Jennifer K. Ryan¹•Institutions (1)

Purdue University¹

01 Jun 2005-Iie Transactions

TL;DR: Bayesian updating methods that use real-time condition monitoring information to update the stochastic parameters of exponential degradation models are developed and used to develop a closed-form residual-life distribution for the monitored device.

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Abstract: Real-time condition monitoring is becoming an important tool in maintenance decision-making. Condition monitoring is the process of collecting real-time sensor information from a functioning device in order to reason about the health of the device. To make effective use of condition information, it is useful to characterize a device degradation signal, a quantity computed from condition information that captures the current state of the device and provides information on how that condition is likely to evolve in the future. If properly modeled, the degradation signal can be used to compute a residual-life distribution for the device being monitored, which can then be used in decision models. In this work, we develop Bayesian updating methods that use real-time condition monitoring information to update the stochastic parameters of exponential degradation models. We use these degradation models to develop a closed-form residual-life distribution for the monitored device. Finally, we apply these degradation...

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691 citations

"Condition based maintenance optimiz..." refers methods in this paper

...[20], the Bayesian prognostics methods [21], and the ANN based prognostics methods [22,23]....
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Report•DOI•

Wind Turbine Design Cost and Scaling Model

[...]

L. Fingersh¹, Maureen Hand, A. Laxson•Institutions (1)

Office of Scientific and Technical Information¹

01 Dec 2006

TL;DR: In this article, the authors provide projections of the impact on cost from changes in economic indicators such as the Gross Domestic Product (GDP) and the Producer Price Index (PPI).

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Abstract: This model intends to provide projections of the impact on cost from changes in economic indicators such as the Gross Domestic Product and Producer Price Index.

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520 citations

Journal Article•DOI•

Reliability analysis for wind turbines

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Peter Tavner¹, J. Xiang², F. Spinato¹•Institutions (2)

Durham University¹, Loughborough University²

01 Jan 2007-Wind Energy

TL;DR: In this paper, the reliability of wind turbine components from historic German and Danish data has been analyzed using reliability analysis methods which are not only applicable to wind turbines but relate to any repairable system.

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Abstract: Modern wind turbines are complex aerodynamic, mechanical and electrical machines incorporating sophisticated control systems. Wind turbines have been erected in increasing numbers in Europe, the USA and elsewhere. In Europe, Germany and Denmark have played a particularly prominent part in developing the technology, and both countries have installed large numbers of turbines. This article is concerned with understanding the historic reliability of modern wind turbines. The prime objective of the work is to extract information from existing data so that the reliability of large wind turbines can be predicted, particularly when installed offshore in the future. The article uses data collected from the Windstats survey to analyse the reliability of wind turbine components from historic German and Danish data. Windstats data have characteristics common to practical reliability surveys; for example, the number of failures is collected for each interval but the number of turbines varies in each interval. In this article, the authors use reliability analysis methods which are not only applicable to wind turbines but relate to any repairable system. Particular care is taken to compare results from the two populations to consider the validity of the data. The main purpose of the article is to discuss the practical methods of predicting large-wind-turbine reliability using grouped survey data from Windstats and to show how turbine design, turbine configuration, time, weather and possibly maintenance can affect the extracted results. Copyright © 2006 John Wiley &Sons, Ltd.

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459 citations