Abstract: An aero-engine bearing fault diagnosis method based on variational mode decomposition and residual network includes the following steps: collect signals in different positions and directions with vibration acceleration sensors, which will be used as sample data; convert the said sample data into the target data type through normalization, slicing, variational mode decomposition and labeling, to get a training sample set; build a 1D-Resnet model, input the training sample set into the said 1D-Resnet model for training and save the model parameters when the model converges; diagnose the aero-engine bearing fault with the trained 1D-Resnet model, to get the diagnostic results. The method diagnoses and analyzes faults of the bearings of the rotating mechanical parts in aero-engines based on variational mode decomposition and residual network, which improves the diagnostic accuracy, and can provide an accurate and reliable basis for maintenance workers.

Abstract: An operation control system for a gas-steam combined cycle generator unit-includes a real-time operation data acquisition module, to collect the operation parameter data and power generation data of a power plant unit, an operation status evaluation index mining module, to mine and analyze the operation parameter data of a power plant unit to get key parameters, an operation status evaluation index extraction module, to obtain characteristic variables, an operation characteristic parameter prediction module, to predict the said characteristic variables and obtain the predicted value and the corresponding change trend, and an operation intelligent control module, to realize the intelligent control of parameters. The operation control system can guide the optimal operation of power plant units, and improve their operation reliability and economy.