Finding sensitive sensor positions under faulty condition of reciprocating air compressors

2011 IEEE Recent Advances in Intelligent Computational Systems, RAICS 2011

Volumn , Issue , 2011, Pages 242-246

  Verma, Nishchal K ^a   Kadambari, J ^a   Abhijit, B ^a   Tanu, S ^a   Salour, Al ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

^b BOEING COMPANY   (United States)

Author keywords

Data acquisition; Reciprocating air compressor; Sensitive positions; Statistical parameters

Indexed keywords

AIR COMPRESSOR; DAQ SYSTEM; DATA ACQUISITION SYSTEM; DIGITAL DATAS; FAULTY CONDITION; HEALTH MONITORING; POTENTIAL FAULTS; RECIPROCATING AIR COMPRESSOR; SENSITIVE POSITIONS; SENSITIVE SENSORS; STATISTICAL PARAMETERS; TIMELY IDENTIFICATION;

COMPRESSORS; COMPUTATIONAL COMPLEXITY; DATA ACQUISITION; GRAPHICAL USER INTERFACES; HEALTH;

RECIPROCATING COMPRESSORS;

EID: 81355150622     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RAICS.2011.6069310     Document Type: Conference Paper

References (4)

1. Mohamed El Hachemi Benbouzid, "A Review of Induction Motors Signature Analysis as a Medium for Fault Detection," IEEE Trans. Industrial Electronics, vol. 47, no. 5, pp. 984-993, Oct 2000.
2. Cesar Da Costa, Mauro Hugo Mathias, Pedro Ramas, Pedro Silva Girao, "A New Approach for Real Time Fault Diagnosis in Induction Motors Based on Vibration Measurement." in Proc. IEEE Instrumentation and Measurement Tech. Conf., pp. 1164-1168, May 2010.
3. Nishchal K. Verma, Kadambari J, Abhijit B, Tanu S, T S S Subramaniam, "Statistical Approach for finding Sensitive Positions for Condition Based Monitoring of Reciprocating Air Compressors," in Proc. IEEE Control & system Graduate Research Colloquium, Conf., 2011, Malaysia.
4. *, John Yannis Goulemas, Laurence P.J. Kenney, and David Howard, "A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data", IEEE Trans. Biomedical Eng., vol. 56, no. 3, pp. 871-879, March 2009.