期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：8
页码：15506
DOI：10.15680/IJIRSET.2016.0508152
出版社：S&S Publications
摘要：Rotating machinery is widely used in today’s industry some of which are complex, often with extremelydemanding performance criteria. Machine failures can be catastrophic resulting in costly downtime. Fault diagnosis hasbecome increasingly more important for industrial automation. This work demonstrates the use of hybrid intelligentsystem in detection of vibration faults in Feed Pump. Prediction of failure in Feed Pump is based on Adaptive NeuroFuzzy Inference System. The performance of this technique is investigated through experimental study of real onlinevibration signals. The results reveal that complexity analysis and velocity parameters in combination with ANFISenable predictive maintenance and provide an effective measure for machine condition evaluation.
