Failure mode and effect analysis of monocrystalline silicon photovoltaic modules after 24 years outdoor exposure in semi-arid climate

2020 ◽  
Author(s):  
Pramod Rajput ◽  
Maria Malvoni ◽  
O. S. Sastry ◽  
G. N. Tiwari
Keyword(s):  
Failure Mode ◽  
Outdoor Exposure ◽  
Monocrystalline Silicon ◽  
Arid Climate ◽  
Effect Analysis ◽  
Photovoltaic Modules ◽  
Semi Arid

scholarly journals Analysis of thin film photovoltaic modules under outdoor long term exposure in semi-arid climate conditions

Solar Energy ◽  
2017 ◽  
Vol 157 ◽  
pp. 587-595 ◽  
Author(s):  
Ali Tahri ◽  
Santiago Silvestre ◽  
Fatima Tahri ◽  
Soumia Benlebna ◽  
Aissa Chouder
Keyword(s):  
Thin Film ◽  
Arid Climate ◽  
Climate Conditions ◽  
Photovoltaic Modules ◽  
Semi Arid

Risk analysis of cutting system under intuitionistic fuzzy environment

2020 ◽  
Vol 1 (1) ◽  
pp. 162-173
Author(s):  
Dinesh Kumar Kushwaha ◽  
◽  
Dilbagh Panchal ◽  
Anish Sachdeva ◽  
◽  
...  
Keyword(s):  
Risk Assessment ◽  
Failure Mode ◽  
Thermal Power ◽  
Failure Detection ◽  
Engineering System ◽  
Effect Analysis ◽  
Intuitionistic Fuzzy ◽  
Mode Effect ◽  
Cutting System ◽  
Failure Mode Effect Analysis

Failure Mode Effect Analysis (FMEA) is popular and versatile approach applicable to risk assessment and safety improvement of a repairable engineering system. This method encompasses various fields such as manufacturing, healthcare, paper mill, thermal power industry, software industry, services, security etc. in terms of its application. In general, FMEA is based on Risk Priority Number (RPN) score which is found by product of probability of Occurrence (O), Severity of failure (S) and Failure Detection (D). As human judgement is approximate in nature, the accuracy of data obtained from FMEA members depend on degree of subjectivity. The subjective knowledge of members not only contains uncertainty but hesitation too which in turn, affect the results. Fuzzy FMEA considers uncertainty and vagueness of the data/ information obtained from experts. In order to take into account, the hesitation of experts and vague concept, in the present work we propose integrated framework based on Intuitionistic Fuzzy- Failure Mode Effect Analysis (IF-FMEA) and IF-Technique for Order Preference by Similarity to Ideal Solution (IF-TOPSIS) techniques to rank the listed failure causes. Failure cause Fibrizer (FR) was found to be the most critical failure cause with RPN score 0.500. IF-TOPSIS has been implemented within IF-FMEA to compare and verify ranking results obtained by both the IF based approaches. The proposed method was presented with its application for examining the risk assessment of cutting system in sugar mill industry situated in western Uttar Pradesh province of India. The result would be useful for the plant maintenance manager to fix the best maintenance schedule for improving availability of cutting system.

MONITORING A CAVE ENVIRONMENT IN THE SIERRA NEVADA — IMPLICATIONS FOR INTERPRETING STALAGMITE RECORDS FROM A SEMI-ARID CLIMATE

2019 ◽  
Author(s):  
Kimberly Bowman ◽  
◽  
Eleana Brumage ◽  
Elizabeth Diaz ◽  
Daphne Kuta ◽  
...  
Keyword(s):  
Sierra Nevada ◽  
Arid Climate ◽  
Cave Environment ◽  
Semi Arid

scholarly journals Utility of Failure Mode and Effect Analysis to Improve Safety in Suctioning by Orotracheal Tube

2017 ◽  
Vol 32 (1) ◽  
pp. 28-37 ◽  
Author(s):  
Agustín Vázquez-Valencia ◽  
Andrés Santiago-Sáez ◽  
Bernardo Perea-Pérez ◽  
Elena Labajo-González ◽  
Maria Elena Albarrán-Juan
Keyword(s):  
Failure Mode ◽  
Effect Analysis ◽  
Orotracheal Tube

Modeling and experimental investigation of dust effect on glass cover PV module with fixed and tracking system under semi-arid climate

2021 ◽  
Vol 230 ◽  
pp. 111219
Author(s):  
Alae Azouzoute ◽  
Charaf Hajjaj ◽  
Houssain Zitouni ◽  
Massaab El Ydrissi ◽  
Oumaima Mertah ◽  
...  
Keyword(s):  
Experimental Investigation ◽  
Tracking System ◽  
Arid Climate ◽  
Glass Cover ◽  
Pv Module ◽  
Dust Effect ◽  
Semi Arid

scholarly journals Data of a PV plant implemented in hot semi-arid climate

Data in Brief ◽  
2021 ◽  
Vol 34 ◽  
pp. 106756
Author(s):  
Nour-eddine Id Omar ◽  
Lahcen Boukhattem ◽  
Fahd Oudrhiri Hassani ◽  
Amin Bennouna ◽  
Aziz Oukennou
Keyword(s):  
Arid Climate ◽  
Semi Arid
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