The invention relates to the technical field of intelligent monitoring, in particular to a digital integrated bridge crane fault diagnosis
system which comprises a stress fluctuation monitoring module, a local stress analysis module, an energy flow monitoring module, a
fault propagation calculation module and an intelligent early warning module. According to the method, the change trend of the health state of the structure is identified through stress fluctuation
data analysis in a continuous period, the real-
time control capability of the safety of the bridge crane structure is enhanced, local gridding
stress monitoring is implemented based on a high-
risk area, the abnormal expansion trend is captured, the fault prediction accuracy is improved, and the fault prediction efficiency is improved. The method comprises the following steps of: determining a part with over-limit loss and an abnormal energy transmission path in a
power transmission process, ensuring deep analysis of an equipment operation state, calculating a fault influence range in combination with an input power change rate, identifying continuity of a
power loss path, analyzing a propagation trend of a fault, and optimizing fault
traceability and
diffusion prediction capability. And the comprehensiveness of the operation state evaluation of the bridge crane is improved.