Unsupervised machine learning framework for early machine failure detection in an industry

Author:

Hasan Nabeela1,Chaudhary Kiran2,Alam Mansaf1

Affiliation:

1. Department of Computer Science, Jamia Millia Islamia, New Delhi 110025, India

2. Department of Commerce, Shivaji College, University of Delhi, New Delhi 110027, India

Publisher

Informa UK Limited

Subject

Applied Mathematics,Algebra and Number Theory,Analysis

Reference22 articles.

1. Fault detection and diagnosis using Principal Component Analysis of vibration data from a reciprocating compressor

2. IBM Israel, “Israel Electric corporation moves towards smarter maintenance”, 2013, retrieved from www.IBM.com

3. P. Liggan and D. Lyons, “Applying Predictive maintenance techniques to Utility Systems, Retrieved from Pharmaceutical Engineering”, Official Magazine of ISPE, Nov/Dec 2011, Vol 31 No.6

4. Aircraft maintenance planning and scheduling: an integrated framework

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