Smartphone Application for Fault Recognition

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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eISSN: 1178-5608

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VOLUME 6 , ISSUE 4 (September 2013) > List of articles

Smartphone Application for Fault Recognition

1Nishchal K. Verma * / Rahul K. Sevakula * / Jayesh K. Gupta * / Sumanik Singh * / Sonal Dixit * / Al Salour *

Keywords : Feature Extraction, Android, Feature Classification, Feature Selection, Support Vector Machines

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 6, Issue 4, Pages 1,763-1,782, DOI: https://doi.org/10.21307/ijssis-2017-614

License : (CC BY-NC-ND 4.0)

Received Date : 10-June-2013 / Accepted: 08-August-2013 / Published Online: 05-September-2013

ARTICLE

ABSTRACT

Smart-phones have become an essential tool for many in daily life. Smart-phone Application development has grown rapidly to fulfill the demands of increasingly diverse usage. This paper presents an application based on a fault recognition model that can be used for recognizing different acoustic patterns. The application is made to detect various faulty conditions of an industrial air compressor based on the sound generated by the machine. The application has been tested in real time and is found to perform very well with classification accuracies above 94.75%. We propose that similar applications and recognition models with some modified specifications could be used for acoustic pattern recognition in a wide range of areas.

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REFERENCES

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