Fuzzy neural network fault diagnosis and online vibration monitoring system for the coal scraper conveyor based on rough set theory

In order to produce in safety and avoid the accidents, which is caused by electromechanical failure in the coal large transport equipments, the fuzzy neural network fault diagnosis scheme based on rough set theory is proposed in this paper and the online fault monitoring system for the scraper conveyor is designed. The whole system monitoring model is introduced. The weak signal of mechanical vibration detection by Duffing chaotic oscillator is adopted. And the principle combining rough set and fuzzy neural network is described to realize the on-line fault monitoring. The feasibility and superiority of the scenario are verified so as to achieve a fault diagnosis and on-line monitoring.