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Open AccessJournal ArticleDOI

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

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TLDR
In this paper, a basic introduction to the civil aircraft piston pump is presented, including the classification, structure, working principle, design features, and achievements by some research groups, and the future directions of the aircraft pump are reported from various perspectives.
About
This article is published in Chinese Journal of Aeronautics.The article was published on 2020-01-01 and is currently open access. It has received 62 citations till now. The article focuses on the topics: Piston pump & Hydraulic cylinder.

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Citations
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Journal ArticleDOI

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

TL;DR: An improved intelligent method based on CNN with adapting learning rate is constructed for fault diagnosis of a hydraulic piston pump and experiments indicate that the improved CNN model can effectively and accurately identify various faults for a hydraulic engine.
Journal ArticleDOI

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

TL;DR: In this paper , a Bayesian optimization (BO) algorithm is adopted to automatically select the hyperparameters. And the results indicate that CNN-BO can accomplish the intelligent fault diagnosis of a hydraulic pump accurately.
Journal ArticleDOI

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

TL;DR: The PSO-Improve-CNN model presents the highest diagnostic accuracy, less time in training and testing, and greater robustness, and the comprehensive performance of the proposed model is demonstrated to be much stronger.
Journal ArticleDOI

A novel adaptive convolutional neural network for fault diagnosis of hydraulic piston pump with acoustic images

TL;DR: Wang et al. as mentioned in this paper employed Bayesian optimization (BO) for adaptive HP learning, and an improved convolutional neural network (CNN) was established for fault feature extraction and classification in a hydraulic piston pump.
References
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MonographDOI

Aircraft Systems: Mechanical, Electrical, and Avionics Subsystems Integration, Third Edition

Ian Moir, +1 more
TL;DR: In this paper, the authors present a review of the state-of-the-art avionics technologies in the field of fight control systems engine control systems fuel systems hydraulic systems electrical systems pneumatic systems emergency systems helicopter systems advanced systems systems design and development avionics technology.
Book

Aircraft Systems: Mechanical, Electrical, and Avionics Subsystems Integration

Ian Moir, +1 more
TL;DR: The third edition of Aircraft Systems represents a timely update of this highly successful and widely acclaimed work as discussed by the authors, where Moir and Seabridge present an in-depth study of the general systems of an aircraftelectronics, hydraulics, pneumatics, emergency systems, and flight control.
Journal ArticleDOI

A complete analysis of axial piston pump leakage and output flow ripples

TL;DR: In this article, the authors focused on understanding the flow losses and the resulting flow/pressure dynamics in a piston pump, and presented equations to evaluate leakages in all piston pump gaps and tested against numerical models to determine the general pressure/flow pump dynamic characteristics.
Journal ArticleDOI

Computer Aided Optimization of Bearing and Sealing Gaps in Hydrostatic Machines—The Simulation Tool Caspar

TL;DR: In this paper, the simulation tool CASPAR is used to calculate the gap flow through the lubricating gaps of axial piston machines, which allows the calculation of the main losses generated in the machine due to viscous friction and gap flow.
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