Reliability assessment of solar photovoltaic systems based on fuzzy fault tree analysis

Perveen, Sana; Ashfaq, Haroon; Asjad, Mohammad

doi:10.1007/s41872-018-0068-2

Cited by 18 publications

(3 citation statements)

References 31 publications

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“…In such case, conventional FTA is combined with fuzzy linguistic scale method. In [52], fuzzy fault tree analysis (FFTA) is used to evaluate the olar photovoltaic systems (S‐PVS) reliability.…”

Section: Reliability Assessment Of Photovoltaic Systemmentioning

confidence: 99%

A comprehensive review of reliability assessment methodologies for grid‐connected photovoltaic systems

Singh

Saket

Khan

2023

IET Renewable Power Gen

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This paper provides a comprehensive review of the research work related to Reliability Assessment Methodologies for grid‐connected photovoltaic (PV) systems performed in recent literature. Solar power is emerging as the fast growing source of energy in the world as a result of rising environmental concerns regarding the hazards of climatic change linked with the production of electricity using fossil fuels. Although PV systems can support small businesses and households on their own, many people prefer a grid‐connected PV system (PVS) because of the net profit it provides. Grid‐integrated PV system, however, comes with many reliability issues. Evaluating the reliability of grid‐integrated photovoltaic system is thus an important area of research. The article presents a critical survey of the state‐of‐art technologies for assessing the reliability of a PV system. Issues related to the reliability of the grid‐integrated PVS are spotted along with the solution techniques. Reliability indices for analyzing the PVS performance are also discussed.

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Section: Reliability Assessment Of Photovoltaic Systemmentioning

confidence: 99%

A comprehensive review of reliability assessment methodologies for grid‐connected photovoltaic systems

Singh

Saket

Khan

2023

IET Renewable Power Gen

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“…A single point of failure can be eliminated by removing the first-order minimum cutset [32]. The 12 minimum cutsets of the single-leaf vegetables quality and safety fault tree are the first-order minimum cutsets, indicating that the basic events {X12}, {X2}, {X3}, {X4}, and {X5} are most likely to cause the top event to occur.…”

Section: ) Qualitative Analysis Results Of Ftamentioning

confidence: 99%

Nutritional Quality and Safety Traceability System for China’s Leafy Vegetable Supply Chain Based on Fault Tree Analysis and QR Code

Dong

Stankovski

et al. 2020

IEEE Access

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Leafy vegetables are consumed in most daily diets worldwide. As living standards improve, food quality, safety requirements, and nutrition are becoming increasingly important to consumers when purchasing leafy vegetables. This study proposes an evaluation and traceability method that can be used to track the nutritional quality of leafy vegetables. Employing the principles of the Hazard Analysis and Critical Control Point (HACCP) system combined with fault tree analysis (FTA), a traceability model for the entire production and sale process of leafy vegetables is constructed. Four common leafy vegetables, spinach, rape, lettuce, and celery are examined in this research to establish a nutritional quality index system using fuzzy mathematics subordinate function method to evaluate nutritional quality. A nutritional quality and safety traceability system based on browser/server architecture and quick response (QR) code is then designed and developed for full traceability of leafy vegetable quality. This method can ensure food safety and hygiene through the control of key factors affecting food safety throughout the entire supply chain process.

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“…Fault Tree Analysis (FTA) is a graphical deductive logic reasoning method that uses a fault tree as a top-down decomposition of the system reliability analysis model [39] [40]. By analyzing various factors that may lead to product failure in the product design process, the causes of product failure and its various possible combinations are identified.…”

Section: Ftamentioning

confidence: 99%

Reliability Analysis of Subsea Control System Using FMEA and FFTA

Xiao

LIU

et al. 2023

Preprint

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Reliability technology has significant importance to ensure the safe operation of the system. To address the problems of complex system structure and lack of reliability data, a combination of Failure Mode and Effects Analysis (FMEA) and Fuzzy Fault Tree Approach (FFTA) is introduced. Firstly, the FMEA method is used to complete the qualitative analysis of the system reliability from the perspective of multi-factor failure modes, analyze the potential failure modes and failure causes of the system. And the risk matrix diagram is used to determine the degree of harm of different failure modes to the system function. Then, the system reliability is quantitatively analyzed by FFTA, and a fault tree model is established by dividing the system into "system-subsystem-component" and solving for the minimum cut set. In addition, by introducing fuzzy set theory to blur the failure probability of each bottom event and introducing triangular fuzzy function to quantitatively calculate the failure probability of the top event and the probabilistic importance of the bottom event, the weak points of each subsystem are identified. Finally, a qualitative and quantitative reliability analysis is conducted by using FMEA-FFTA method for subsea control system. Measures should be taken to focus on preventive protection and regular testing for the high risk, medium-high risk and medium risk modes of the subsea control system.

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Reliability assessment of solar photovoltaic systems based on fuzzy fault tree analysis

Cited by 18 publications

References 31 publications

A comprehensive review of reliability assessment methodologies for grid‐connected photovoltaic systems

A comprehensive review of reliability assessment methodologies for grid‐connected photovoltaic systems

Nutritional Quality and Safety Traceability System for China’s Leafy Vegetable Supply Chain Based on Fault Tree Analysis and QR Code

Reliability Analysis of Subsea Control System Using FMEA and FFTA

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