A Modified Fmea Approach Based Integrated Decision Framework for Overcoming the Problems of Sudden Failure and Accidental Hazards in Turbine and Alternator Unit
This framework employs intuitionistic fuzzy methodologies to evaluate risk factors in turbine systems, highlighting critical failure causes and maintenance plans.
Key Points
The proposed integrated decision framework improves risk assessment for turbine and alternator units in industries.
Key factors include probability of occurrence, severity, and detection, which influence failure analysis outcomes.
Sensitivity analysis affirms the robustness of the intuitionistic fuzzy model in addressing operational issues.
Findings enable better maintenance planning in chemical process industries globally, ultimately minimizing sudden breakdowns.