Intelligent Construction Machinery Fault Diagnosis Based on Multiple Intelligent Machines

Abstract

With the rapid development of science technology, to realize digital monitoring in the complex working conditions, the use of artificial intelligence machine to quickly achieve control operations. However, in the artificial intelligence system process, there may be a programmable datas inaccuracy and non real time, thereby to bring the certain error of control system that affects people's judgment. In programming data acquisition processing system, to introduce CBR diagnosis technique application, existing programming data acquisition processing system carries on fault coupling analysis. Through the data programming module transform for real-time diagnosis module, using artificial intelligence carries on automatic diagnosis for programming data, thus effectively solving the deviation in programming data acquisition process.