Probabilistic risk analysis of distributed generation curtailment

Dinmohammadi, Fateme; Shafiee, Mahmood

doi:10.1201/b15938-320

Cited by 26 publications

(35 citation statements)

References 1 publication

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“…Arabian-Hoseynabadi et al [37], Tavner et al [38], Bharatbhai [39] and Sinha and Steel [40] weighted component criticality with basic rating scales for severity, occurrence and non-detection. Dinmohammadi and Shafiee in [41] developed a fuzzy indicator to assess component criticality. Das et al in [42] and Zhou et al [43] presented FMEA analyses based on expert assessment indicators.…”

Section: State Of the Artmentioning

confidence: 99%

Using a Hybrid Cost-FMEA Analysis for Wind Turbine Reliability Analysis

2017

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Abstract:Failure mode and effects analysis (FMEA) has been proven to be an effective methodology to improve system design reliability. However, the standard approach reveals some weaknesses when applied to wind turbine systems. The conventional criticality assessment method has been criticized as having many limitations such as the weighting of severity and detection factors. In this paper, we aim to overcome these drawbacks and develop a hybrid cost-FMEA by integrating cost factors to assess the criticality, these costs vary from replacement costs to expected failure costs. Then, a quantitative comparative study is carried out to point out average failure rate, main cause of failure, expected failure costs and failure detection techniques. A special reliability analysis of gearbox and rotor-blades are presented.

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Section: State Of the Artmentioning

confidence: 99%

Using a Hybrid Cost-FMEA Analysis for Wind Turbine Reliability Analysis

2017

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“…Figure 5. The failure rates for the sub-assemblies of the (a) onshore and (b) offshore wind turbine system (sub-assemblies are listed in alphabetical order) [15,19]. Table 7 gives the RPN values obtained from PTC Windchill FMEA module [33] for the sixteen sub-assemblies of wind turbine systems considered in this study.…”

Section: Traditional Fmeamentioning

confidence: 99%

“…In order to overcome these drawbacks, we extend our works in [15,19], and develop a mathematical tool for risk and failure mode analysis of wind turbine systems (both the onshore and offshore) based on three main factors: failure probability, incurred failure costs, and the fault detection possibility. The proposed methodology is applied to the two same type of onshore and offshore wind turbine systems, and the results are compared with the existing prioritization approaches.…”

Section: Level C (Occasional)mentioning

confidence: 99%

“…The traditional FMEA methodology has been extensively used by wind turbine assembly manufacturers for analyzing, evaluating and prioritizing the potential/known failure modes [11]. However, a brief review of the literature shows that only a few researchers have worked on improving the traditional FMEA methodology to make it more practical for wind turbine systems (see [12][13][14][15][16]). Recently, Tavner and his colleagues presented a design-stage FMEA methodology for prioritization of failures in a 2-MW wind turbine system (named as R80) within the Reliawind project [17,18].…”

Section: Introductionmentioning

confidence: 99%

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An FMEA-Based Risk Assessment Approach for Wind Turbine Systems: A Comparative Study of Onshore and Offshore

2014

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Failure mode and effects analysis (FMEA) has been extensively used by wind turbine assembly manufacturers for analyzing, evaluating and prioritizing potential/known failure modes. However, several limitations are associated with its practical implementation in wind farms. First, the Risk-Priority-Number (RPN) of a wind turbine system is not informative enough for wind farm managers from the perspective of criticality; second, there are variety of wind turbines with different structures and hence, it is not correct to compare the RPN values of different wind turbines with each other for prioritization purposes; and lastly, some important economical aspects such as power production losses, and the costs of logistics and transportation are not taken into account in the RPN value. In order to overcome these drawbacks, we develop a mathematical tool for risk and failure mode analysis of wind turbine systems (both onshore and offshore) by integrating the aspects of traditional FMEA and some economic considerations. Then, a quantitative comparative study is carried out using the traditional and the proposed FMEA methodologies on two same type of onshore and offshore wind turbine systems. The results show that the both systems face many of the same risks, however there are some main differences worth considering.

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“…Authors in [12] created a fuzzy FMEA method with failure cost taken into account for offshore wind turbines. The fuzzy theory may ease the problem caused by subjectivity.…”

Section: Introductionmentioning

confidence: 99%

An Improved FMECA Method for Wind Turbines Health Management

Du¹,

Yi²,

Guo³

et al. 2017

EPE

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In this paper, an improved Failure Modes, Effects and Criticality Analysis (FMECA) method for wind turbine reliability investigation is proposed. According to previous work, the main deficiencies of Risk Priority Number (RPN) based criticality analysis are presented. For the qualitative analysis, failure modes and main causes of a gearbox are analyzed on subcomponents level with available data. After that, inspection approaches are provided and mitigation methods are recommended from both design and maintenance stage. For criticality analysis, another index, Probable Profit Loss (PPL) is created and all the parameters are carefully defined to overcome the limits of conventional RNP method. Moreover, to make PPL applicable for maintenance tasks, different maintenance types are considered for profit loss calculation. The criticality rank shows the efficiency of the index and can be used as reference for making maintenance schedules.

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Probabilistic risk analysis of distributed generation curtailment

Cited by 26 publications

References 1 publication

Using a Hybrid Cost-FMEA Analysis for Wind Turbine Reliability Analysis

Using a Hybrid Cost-FMEA Analysis for Wind Turbine Reliability Analysis

An FMEA-Based Risk Assessment Approach for Wind Turbine Systems: A Comparative Study of Onshore and Offshore

An Improved FMECA Method for Wind Turbines Health Management

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