Vibration analysis and control technologies of hydraulic pipeline system in aircraft: A review

An improved convolutional neural network with an adaptable learning rate towards multi-signal fault diagnosis of hydraulic piston pump

Hydraulic piston pump in civil aircraft: Current status, future directions and critical technologies

Hydraulic axial piston pump is broadly-used in aerospace, ocean engineering and construction machinery since it is the vital component of fluid power systems. In the light of the undiscoverability of its fault and the potential serious losses, it is valuable and challenging to complete the fault identification of a hydraulic pump accurately and effectively. Owing to the limitations of shallow machine learning methods in the intelligent fault diagnosis, more attention has been paid to deep learning methods. Hyperparameter plays an important role in a deep learning model. Although some manual tuning methods may represent good results in some cases, it is hard to reproduce due to the differences of datasets and other factors. Hence, Bayesian optimization (BO) algorithm is adopted to automatically select the hyperparameters. Firstly, the time–frequency images of vibration signals by continuous wavelet transform are taken as input data. Secondly, by setting some hyperparameters, a preliminary convolutional neural network (CNN) model is established. Thirdly, by identifying the range of each hyperparameter, BO based on Gaussian process is employed to construct an adaptive CNN model named CNN-BO. The performance of CNN-BO is verified by comparing with traditional LeNet 5 and improved LeNet 5 with manual optimization. The results indicate that CNN-BO can accomplish the intelligent fault diagnosis of a hydraulic pump accurately. 

Intelligent fault diagnosis of hydraulic piston pump based on deep learning and Bayesian optimization.

Intelligent fault diagnosis of hydraulic piston pump combining improved LeNet-5 and PSO hyperparameter optimization

Modeling and control of a novel electro-hydrostatic actuator with adaptive pump displacement

A novel approach for predicting inlet pressure of aircraft hydraulic pumps under transient conditions

Numerical investigation of effect of a centrifugal boost impeller on suction performance of an aircraft hydraulic pump

Critical inlet pressure (CIP) is a key parameter for ensuring the long life and steady operation of aircraft piston pumps. In the past, this parameter was determined through experimental methods th...

Hongkang Dong

Papers

Hydraulic piston pump in civil aircraft: Current status, future directions and critical technologies

Modeling and control of a novel electro-hydrostatic actuator with adaptive pump displacement

A novel approach for predicting inlet pressure of aircraft hydraulic pumps under transient conditions

Numerical investigation of effect of a centrifugal boost impeller on suction performance of an aircraft hydraulic pump

First attempt to determine the critical inlet pressure for aircraft pumps with a numerical approach that considers vapor cavitation and air aeration