Research on fault diagnosis and pre-maintenance of tobacco machine based on fault tree and support vector machine model

The development of intelligent detection system makes the running state of cigarette equipment continuously known, which provides a basis for fault detection and maintenance of cigarette enterprises. In order to improve production and reduce fault consumption, it is urgent to be able to detect the fault of the smoke machine in time or even to detect the fault of the smoke machine in advance, and to give the corresponding reliable solution in time, as well as the fault type, fault equipment and other information, reduce the time for workers to retrieve the source of equipment failure and think about the solution, and greatly reduce the huge loss caused by the failure of the smoke machine. Therefore, a method of fault diagnosis and pre-maintenance of tobacco machine is proposed, which is based on fault tree support vector machine state evaluation method for pre-maintenance and normal operation and maintenance of tobacco machine. This method can detect the machine fault in time and prevent the possible machine fault. According to the results, the fault type, solution and other information can be fed back to realize the pre-maintenance and normal operation and maintenance of the cigarette machine, which has guiding significance and reference value for the production and maintenance of cigarettes.