scispace - formally typeset
Open AccessJournal ArticleDOI

Wind turbine condition monitoring: technical and commercial challenges

TLDR
In this paper, the authors present the wind industry with a detailed analysis of the current practical challenges with existing wind turbine condition monitoring technology, in particular, reliability and value for money.
Abstract
Deployment of larger scale wind turbine systems, particularly offshore, requires more organized operation and maintenance strategies to ensure systems are safe, profitable and cost-effective. Among existing maintenance strategies, reliability centred maintenance is regarded as best for offshore wind turbines, delivering corrective and proactive (i.e. preventive and predictive) maintenance techniques enabling wind turbines to achieve high availability and low cost of energy. Reliability centred maintenance analysis may demonstrate that an accurate and reliable condition monitoring system is one method to increase availability and decrease the cost of energy from wind. In recent years, efforts have been made to develop efficient and cost-effective condition monitoring techniques for wind turbines. A number of commercial wind turbine monitoring systems are available in the market, most based on existing techniques from other rotating machine industries. Other wind turbine condition monitoring reviews have been published but have not addressed the technical and commercial challenges, in particular, reliability and value for money. The purpose of this paper is to fill this gap and present the wind industry with a detailed analysis of the current practical challenges with existing wind turbine condition monitoring technology.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Failure rate, repair time and unscheduled O&M cost analysis of offshore wind turbines

TL;DR: In this paper, the authors provide failure rates for the overall wind turbine and its sub-assemblies and the failure modes for the components/subassemblies that are the highest contributors to the overall failure rate.
Journal ArticleDOI

Wind turbine condition monitoring by the approach of SCADA data analysis

TL;DR: In this article, the authors developed an effective method for processing raw SCADA data, and proposed an alternative condition monitoring technique based on investigating the correlations among relevant SCADA and realized the quantitative assessment of the health condition of a turbine under varying operational conditions, which has a potential powerful capability in detecting incipient wind turbine blade and drive train faults, but also exhibits an amazing ability in tracing their further deterioration.
Journal ArticleDOI

Using SCADA data for wind turbine condition monitoring – a review

TL;DR: In this article, the authors discuss recent research using SCADA data for failure detection and condition monitoring (CM), focussing on approaches which have already proved their ability to detect anomalies in data from real turbines.
Journal ArticleDOI

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

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.
Journal ArticleDOI

A review on prognostic techniques for non-stationary and non-linear rotating systems

TL;DR: In this paper, the authors present a review of the applicability of prognostic techniques for rotating machinery operating under non-linear and non-stationary conditions, as well as their application in the research field.
References
More filters
Proceedings ArticleDOI

Advances in kernel methods: support vector learning

TL;DR: Support vector machines for dynamic reconstruction of a chaotic system, Klaus-Robert Muller et al pairwise classification and support vector machines, Ulrich Kressel.
Journal ArticleDOI

The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines

TL;DR: In this article, the spectral kurtosis (SK) was used to detect and characterize nonstationary signals in the presence of strong masking noise and to detect incipient faults in rotating machines.
Journal ArticleDOI

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

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.
Journal ArticleDOI

Rotating machinery prognostics: State of the art, challenges and opportunities

TL;DR: In this article, the authors synthesize and place these individual pieces of information in context, while identifying their merits and weaknesses, and discuss the identified challenges, and in doing so, alerts researchers to opportunities for conducting advanced research in the field.
Journal ArticleDOI

Condition Monitoring for Device Reliability in Power Electronic Converters: A Review

TL;DR: The state of the art in condition monitoring for power electronics can be found in this paper, where the authors present a review of the current state-of-the-art in power electronics condition monitoring.
Related Papers (5)