Knowledge Based Condition Monitoring System Using Matlab

Projekt:

JVTC

Sammanfattning:
There has been a steady rise in the machine health monitoring research due to increasing complexities of the industrial machinery. Cost of the machines and machine downtime effects like production loss, maintenance expenses and reduction in overall plant productivity are the areas of concern for modern manufacturing plants. Researchers are developing newer models and algorithms to overcome new issues and challenges in the machine health monitoring using various tools and techniques for both online and off-line machine conditions. The present paper proposes an off-line knowledge based application for machine health monitoring using MATLAB. The application has modules for intelligently addressing the machinery troubleshooting problems based on vibration standard, ISO 10816. The proposed application has three modules: machinery vibration troubleshooting, vibration severity criterion and induction motor troubleshooting. The application is simple to use and modify in which, the machine faults can be detected and analyzed quickly. This will reduce the machine down-time, maintenance costs, etc., and increase the plant productivity

Författare: Mahantesh Nadakatti ; Aditya Parida ; Uday Kumar
Utgivare: International Conference on Railway Engineering
Utgivningsdatum: 2014-08-02
Diarienummer: TRV 2011/58769
Antal sidor: 6
Språk: Engelska
Kontaktperson: Per Olof Larsson Kråik, UHjbs