Fault Diagnosis of Omni-Directional Forklift Traveling System Based on Bayesian Network

The system structure and function of omni-directional forklift motion control system are more and more complex. The malfunction of some important components may result in the failure of the entire system. Aiming at this characteristic, a fault diagnosis method of omnidirectional forklift motion control system based on Bayesian networks is proposed. Firstly, the fault tree modeling of the omnidirectional forklift motion control system was carried out, and the system failure causes were decomposed and refined layer by layer to find out the root cause of the motion control system failure. Secondly, the causal relationship between events and faults in the fault tree is converted into nodes and directed edges in the Bayesian network respectively, and the Bayesian network is constructed according to the mapping relationship between the fault tree and the Bayesian network. The fault diagnosis of omnidirectional forklift motion control system is realized by using Bayes network reverse diagnosis technology.