Developing an expert prognosis system of the reciprocating compressor based on associations among monitoring parameters and maintenance records

Author:

Lu Yen-Ju,Tung Fang-Yun,Wang Chen-Hua

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality,General Chemical Engineering,Food Science,Control and Systems Engineering

Reference75 articles.

1. 3-5 Sept. 2012). Fault detection and diagnosis using Principal Component Analysis of vibration data from a reciprocating compressor;Ahmed,2012

2. Fault Diagnosis of Reciprocating Compressors Using Revelance Vector Machines with a Genetic Algorithm Based on Vibration Data;Ahmed,2014

3. Cooperation between expert knowledge and data mining discovered knowledge: lessons learned;Alonso;Expert Syst. Appl.,2012

4. A Practical Guide to Compressor Technology;Bloch,2006

5. Reciprocating Compressors:: Operation and Maintenance;Bloch,1996

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