Title : 
Innovative Approach To Early Fault Detection For Induction Motors
         
        
            Author : 
Ponci, Ferdinanda ; Cristaldi, Loredana ; Faifer, Marco ; Lazzaroni, Massimo
         
        
            Author_Institution : 
Univ. of South Carolina, Columbia
         
        
        
        
        
        
            Abstract : 
This paper presents an approach to early fault detection for inverter fed induction motor drives. The method relies on a simple algorithm, which analyzes the line current signal acquired upstream from the rectifier-inverter set. The diagnostic system proposed here, introduces an ad hoc index related to the health state of the induction motor. Experimental results, showing the satisfactory performance of this algorithm are provided. In particular, tests for rotor winding fault have been performed.
         
        
            Keywords : 
fault diagnosis; induction motor drives; invertors; rectifiers; windings; diagnostic system; early fault detection; inverter fed induction motor drives; rectifier-inverter set; rotor winding fault; Costs; Failure analysis; Fault detection; Fault diagnosis; Induction motor drives; Induction motors; Inverters; Rotors; Signal analysis; US Department of Transportation; Condition-Based Maintenance (CBM); Diagnosis; Fault classification; Fault prediction; Induction motor drives; Monitoring;
         
        
        
        
            Conference_Titel : 
Diagnostics for Electric Machines, Power Electronics and Drives, 2007. SDEMPED 2007. IEEE International Symposium on
         
        
            Conference_Location : 
Cracow
         
        
            Print_ISBN : 
978-1-4244-1061-3
         
        
            Electronic_ISBN : 
978-1-4244-1062-0
         
        
        
            DOI : 
10.1109/DEMPED.2007.4393109