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Complex mechanical and electrical equipment contains a large amount of data with the implicit information. According to the development of PHM (Prognostics and Health Management) technology at home and abroad, and the wide application prospects of data driving methods, the overall framework of data driven PHM system for complex electromechanical equipment was designed. The data driven PHM implementation process of the complex mechanical and electrical equipment was described step by step, which provides important theoretical significance and application value for the PHM research of the complex mechanical and electrical equipment. Finally, the development trend and research challenges of data driven PHM method were analyzed.

In this paper, a kind of data driven PHM system architecture based on data driven is came up; then a field data acquisition scheme which is very important in PHM system is presented; with a case, the block diagram of the scheme realization, which includes OPC server software configurations, and client software development process is shown. In this case, the data acquisition software has been developed by using the C #language and the local database and the data center database has been created to save data. The data acquisition software can read data from the PLC and save data to the database, which provides a stable and accurate data source for PHM system and has good stability and compatibility.

In this paper, the modal analysis was carried out on the core and cavity of a 160KVA dry-type transformer based on the finite element analysis software of ANSYS. And the simulation results of the natural frequencies and modal shapes were obtained, which provided a theoretical guidance to the design of the transformer structure, and were meaningful to reduce the vibration and noise level of the transformer.

The operation characteristic of transformer when DC bias phenomenon occurred was detected by Epstein frame. Results with different methods of joint forms are obtained in this paper. The circuit structure and measuring principle were analyzed in detail. Average magnetizing curve, magnetic hysteresis loop and loss curve with joint forms method of full tap and 30°,60° tap were obtained. The theoretical basis and experimental evidence for improving the capacity on restraining DC bias during designing transformer are provided.

As the manufacturing technology of transformer getting more and more mature, issue of its vibration and noise is getting more and more attention. The vibration is more obviously when the transformer is running with DC Bias. 3D field-circuit coupling models of single-phase three-column power transformer was created by ANSYS. The simulating distributions of core magnetic flux density were obtained when the model was running with DC bias current of 0A, 0.9A and 2.6A. So were the modal shapes and curve of vibration-frequency of the transformer model. The theoretical guidance of reducing transformer vibration was obtained after analyzing the simulation result.

Transformer is irreplaceable to make sure power system running stably. It's showed in research that magnetic resistance is relevant to capacity on restraining DC bias both in three-phase three-column transformer and three-phase five-column transformer. Magnetic resistance can be changed by changing the seam size of transformer. 3D field-circuit coupling models of single-phase four-column power transformer with two kinds of seam were created by FEA in this paper. Models were simulated with different DC bias current. The analysis result of influence of seam size on power transformer's capacity on restraining DC bias was obtained by DC bias current efficient extraction and comparison of models with different seam size, which is the theoretical basis of developing new transformer with more capacity on restraining DC bias.