The state inspection of upper supporting roller of conveyor in service with structural pattern recognition and cluster norm algorithm of failure

In thermal power generation, coal transportation is an important link in the production process, and coal transportation by corridor conveyor is a common technical method. In order to ensure the normal and continuous supply of coal, it is necessary to inspect the corridor facilities, especially the working status of conveyor rollers, and timely find and deal with abnormal situations. It is difficult to meet the requirements of modern thermal coal transportation inspection due to the heavy workload and high labor intensity. A kind of inspection robot instead of manual is proposed and developed. The robot system by CCD detection, convention scanning way, classifier design and abnormal structure pattern recognition algorithm, the displacement of conveyor roller state, center, loss of revolution, abstraction of severe abrasion and crack, forms the state vector, through clustering algorithm of norm, judgment is done for determination of the roller on the working state.