A New Fault Diagnosis Method Based on Attributes Weighted Neutrosophic Set

摘要: Fault diagnosis is an extensively applied issue to monitor condition and diagnose fault for safe stable operation of the machine, which started develop during industrial revolution contains various theories technologies. Due growing complexity contributing factors a correlation attributes are often interrelated, traditional methods fail handle with this complex condition. To solve problem, new method based on weighted neutrosophic set proposed in paper. In approach, model developed obtain weights by information. For sample whose type unknown, generated from data aggregated via single valued power averaging (SVNPWA) operator obtained weights, then, results could be determined defuzzification fused set. This have capacity differentiate individual impact uncertain problems process diagnosis. Finally, illustrative example was provided demonstrate reasonableness effectiveness method.