Power system: a reliability assessment using FTA

Jaise, J.; Kumar, Nikesh; Shanmugam, N. Siva; Sankaranarayanasamy, K.; Ramesh, T.

doi:10.1007/s13198-012-0100-2

Cited by 22 publications

(7 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…FTA is a directed graph that reflects the fault propagation, 18,19 which is used to evaluate the reliability of large and complex systems like wind turbines. FTA establishes and analyzes wind turbine event fault tree to research the fault mechanism.…”

Section: Fault Tree Analysismentioning

confidence: 99%

Reliability analysis assessment of the wind turbines system under multi-dimensions

Yan

Wei

Zhu

et al. 2020

Advanced Composites Letters

View full text Add to dashboard Cite

Aiming at the frequent occurrence of the wind turbines failures, a set of analytical methods was developed to carry out the reliability assessment from multi-dimensions, considering the fault characteristics of the wind turbines subsystems, the variation of its failure process, and the wind turbines reliability indexes. Through classification processing of failure data, the Pareto diagram was applied to search the weak subsystem. A fault tree model is constructed, which can figure out the logical relationship between its failure events by the Fussell–Vesely algorithm. According to various characteristics of the bathtub curve, the failure process based on power law process (PLP) model was proposed, it has been discussed that the change criteria of the wind turbines failure with the running time. At last, reliability indexes such as availability were solved and compared to judge the wind turbine performance status. A case study was given in which the failure data are from a wind farm in China. The results indicate that electrical control and pitch subsystems are weak subsystems, and the minimum bottom event in their fault tree model may lead to system failure. Besides, the PLP model can describe the failure process of wind turbines.

show abstract

Section: Fault Tree Analysismentioning

confidence: 99%

Reliability analysis assessment of the wind turbines system under multi-dimensions

Yan

Wei

Zhu

et al. 2020

Advanced Composites Letters

View full text Add to dashboard Cite

show abstract

“…FTA is a quantitative and qualitative evaluation technique that identifies events as TEs and systematically arranges all the causes of errors in a top-down structure that looks like a tree to calculate the probability of the top event occurring [14]. In a conventional FTA, the BEs are represented by probabilities (crisp numbers).…”

Section: Introductionmentioning

confidence: 99%

Applications of FFTA–HFACS for Analyzing Human and Organization Factors in Electric Misoperation Accidents

Lin

Huang

2021

Applied Sciences

View full text Add to dashboard Cite

Human and organizational factors (HOFs) play an important role in electric misoperation accidents (EMAs), but research into the reliability of human factors is still in its infancy in the field of EMAs, and further investment in research is urgently required. To analyze the HOFs in EMAs, a hybrid method including the Human Factors Analysis and Classification System (HFACS) and fuzzy fault tree analysis (FFTA) was applied to EMAs for the first time in the paper. HFACS is used to identify and classify the HOFs with 135 accidents, reorganized as basic events (BEs), intermediate events (IEs), and top event (TE), and develop the architecture of fault tree (FT). Fuzzy aggregation is employed to address experts’ expressions and obtain the failure probabilities of the BEs and the minimal cut sets (MCSs) of the FT. The approach generates BEs failure probabilities without reliance on quantitative historical failure statistics of EMAs via qualitative records processing. The FFTA–HFACS model is applied for quantitative analysis of the probability of failure of electrical mishaps and the interaction between accident risk factors. It can assist professionals in deciding whether and where to take preventive or corrective actions and assist in knowledgeable decision-making around the electric operation and maintenance process. Finally, applying this hybrid method to EMAs, the results show that the probability of an EMAs is 1.0410 × 10−2, which is a risk level that is likely to occur and must be controlled. Two of the most important risk factors are habitual violations and supervisory violation; a combination of risk factors of inadequate work preparation and paralysis, and irresponsibility on the part of employees are also frequent errors.

show abstract

“…A Volkanovski et al presented a statistical analysis of the Lose of Offsite Power (LOOP) registered in four assessed databases, the number of LOOP events in each year in the period studied and operation modes are assessed [7,8]. A case study of the power station is considered for performing the FT analysis and the results are presented in [9]. The methodology adopted in the investigation is to generate FT for each load point of the power system.…”

Section: Introductionmentioning

confidence: 99%

Electrical grid reliability assessment by fault tree analysis

Agwa

Matter

Eisawy

et al. 2020

IJEECS

View full text Add to dashboard Cite

<p>The main rule of an electrical grid is to supply electrical energy to consumers as economically as possible, and with an adequate degree of reliability. Reliability is an essential measure and important component of all power system planning and operation procedures. In this paper, the electrical grid reliability is evaluated by Fault Tree (FT) analysis. In this method Alternating Current (AC) load flow analysis is combined with the FT technique. The electrical grid reliability is calculated based on the unreliability of the power supplied to the loads. The verification of the method is performed on a part of the Egyptian electrical grid (Alexandria zone 17-bus). The electrical grid components are sorted according to their influence on the electrical grid reliability.</p>

show abstract

Power system: a reliability assessment using FTA

Cited by 22 publications

References 7 publications

Reliability analysis assessment of the wind turbines system under multi-dimensions

Reliability analysis assessment of the wind turbines system under multi-dimensions

Applications of FFTA–HFACS for Analyzing Human and Organization Factors in Electric Misoperation Accidents

Electrical grid reliability assessment by fault tree analysis

Contact Info

Product

Resources

About