Main pump fault diagnosis method and system based on principal component and deep learning algorithm

The invention discloses a main pump fault diagnosis method and system based on a principal component and a deep learning algorithm, and the method comprises the steps: obtaining the real-time operation data of main pump equipment, and storing the real-time operation data; according to the real-time operation data of the main pump equipment, a main pump operation state circulation monitoring method based on principal component analysis and multi-source data prediction is adopted, the main pump state of the main pump equipment at the current moment and within the subsequent preset time duration is monitored, and the monitoring state is obtained; the monitoring state comprises a normal state and an abnormal state; according to the monitoring state and the real-time operation data of the main pump equipment, a time-frequency domain analysis method and an expert knowledge base are adopted, and in combination with process parameters collected by the non-safety-level DCS, typical fault modes are diagnosed and judged