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Prognostics and system Health Management Conference (PHM-Qingdao)

作者： Liang Cao Jinglin Wang Qinyang Li Fan Jiang Xiaohan Yao Sheng Zhou Aviation Key Laboratory of Science and Technology on Fault Diagnosis and Health Management AVIC United Technology Center for Basic Research on Aircraft System Fault Diagnosis and Health Management A VIC Shanghai Aero Measurement & Controlling Research Institute Shanghai China

ISBN: (数字)9798350354010

ISBN: (纸本)9798350354027

In order to ensure the maintenance and support capability level of large-scale aviation equipment, the central maintenance system of large-scale aviation equipment is crucial. It is required to accurately grasp the health status of equipment, conduct real-time monitoring, and timely formulate corresponding maintenance and support strategies based on the fault status of aviation equipment and its various subsystems, combined with ground maintenance and support resources, to achieve precise fault localization. It is of great significance to improve the operational safety of large-scale aviation equipment, reduce maintenance and support costs, and enhance maintenance and support efficiency. It is a landmark system in the intelligent development trend of large-scale aviation equipment and a key subsystem essential for various types of key equipment.. (Abstract)

关键词： Computational modeling Atmospheric modeling system integration Hardware Data models Real-time systems Maintenance Safety Aircraft Prognostics and health management

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Probabilistic RUL Prediction Based on Nonlinear Wiener Process and Monte Carlo Simulation

Probabilistic RUL Prediction Based on Nonlinear Wiener Proce...

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Prognostics and system Health Management Conference (PHM-Qingdao)

作者： Bing Huang Liang Cao Ying Liu Xiaohan Yao Fan Jiang Qingyang Li Tianmin Shan Jinglin Wang Aviation Key Laboratory of Science and Technology on Fault Diagnosis and Health Management AVIC United Technology Center for Basic Research on Aircraft System Fault Diagnosis and Health Management AVIC Shanghai Aero Measurement & Controlling Research Institute Shanghai China

ISBN: (数字)9798350354010

ISBN: (纸本)9798350354027

Remaining useful life (RUL) prediction is the core of intelligent operation and maintenance, improving operation and maintenance efficiency and reducing maintenance costs. Aiming at the limitations of RUL prediction methods based on mathematical derivation in terms of adaptability and flexibility, this paper proposes a probabilistic RUL simulation method for complex systems or complex degradation processes. The method constructs a degradation model using a complex nonlinear Wiener process, estimates the model parameters using maximum likelihood estimation, and updates the stochastic parameters based on the Bayesian updating strategy. On this basis, the prediction of probabilistic RUL is realized by the simulation algorithm. Compared with the mathematical derivation method, the prediction of the method proposed in this paper is accurate, which verifies the effectiveness and practicality of the simulation method. In a complex system or complex degradation process, the method in this paper can construct the probabilistic RUL prediction model faster.

关键词： Degradation Adaptation models Monte Carlo methods Accuracy Predictive models Probabilistic logic Mathematical models Maintenance Bayes methods Complex systems

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Research on Aircraft system Anomaly Detection Method Based on MHAVGAE Model

Research on Aircraft System Anomaly Detection Method Based o...

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Prognostics and system Health Management Conference (PHM-Qingdao)

作者： Fan Jiang Bing Huang Xiaohan Yao Qinyang Li Liang Cao Aviation Key Laboratory of Science and Technology on Fault Diagnosis and Health Management AVIC United Technology Center for Basic Research on Aircraft System Fault Diagnosis and Health Management AVIC Shanghai Aero Measurement & Controlling Research Institute Shanghai China

ISBN: (数字)9798350354010

ISBN: (纸本)9798350354027

With the increasing complexity of aircraft systems, there are different degrees of correlation in monitoring aircraft systems, which brings great challenges to anomaly detection in complex systems. In this paper, the method of anomaly detection for complex aircraft systems is studied, and an anomaly detection model based on variational graph autoencoder considering multi-variable coupling is established. Firstly, the detrended correlation quantification system is used to monitor the coupling relationship between variables, and the coupling relationship network is constructed. Secondly, the multi-head attention mechanism is introduced into the variogram autoencoder anomaly detection model to fully extract the hidden features of the network nodes, and quantitatively analyze the changes of the coupling relationship network during the operation of the aircraft system to accurately characterize the system health state. The reconstruction probability is taken as the evaluation index of system running state, and the threshold value of fault warning is determined by the criterion of Gauss distribution theory to realize the timely detection of system anomalies.

关键词： Couplings Correlation Atmospheric modeling systems operation Autoencoders Feature extraction Aircraft manufacture Aircraft Anomaly detection Monitoring

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Research on aircraft fuel measurement method based on machine vision

Research on aircraft fuel measurement method based on machin...

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CSAA/IET International Conference on Aircraft utility systems 2020, AUS 2020

作者： Zhu, Hongyu Shao, Yizhou Xu, Sanshu Nanjing Engineering Institute of Aircraft System AVIC Nanjing China Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing China

ISBN: (纸本)9781839535635

This paper focuses on the problem of aircraft fuel measurement, a visual measurement method is introduced, which uses the optical camera to collect the fuel level images and calculate the fuel from the image data. Considering the redundant information in the image will reduce the processing speed, a contour extraction method based on HSV color model is proposed to simplify the image. The Convolution Neural Network (CNN) is used to extract the fuel image features, and the fuel prediction model based on Long Short-Term Memory (LSTM) network is constructed. The effectiveness of the visual measurement method is verified by simulation. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Computer vision

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GPIO Based Iterative Learning Control for Manipulators with Time-Varying Disturbances

GPIO Based Iterative Learning Control for Manipulators with ...

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Chinese Control Conference (CCC)

作者： Huangyuwei Lu Zuo Wang Jiankun Sun Xi Xiao Shihua Li School of Automation Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex systems of Engineering Ministry of Education Nanjing China Shenzhen Research Institute Southeast University Shenzhen China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing China

To improve the disturbance rejection ability and repetitive tracking accuracy of manipulators, a composite iterative learning control (ILC) scheme via generalized proportional integral observer (GPIO) is proposed. A high-order polynomial is first employed to model the time-varying disturbances that include unmodeled dynamics, parameter uncertainties and load fluctuations. A GPIO is then designed to estimate the disturbances and high-order time derivatives. By introducing estimations into a PD-type ILC at each iteration, a composite control scheme is obtained, such that the undesirable influence of time-varying disturbances can be effectively attenuated in the repetitive tracking process of manipulators. In this paper, the rigorous stability analysis of the closed-loop system is presented to guarantee that the tracking error exponentially converges to zero as the iteration number tends to infinity. The effectiveness of the proposed control scheme is finally verified by simulation results.

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A study on gas-liquid two-phase detection technology based on voice coil vibration

A study on gas-liquid two-phase detection technology based o...

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CSAA/IET International Conference on Aircraft utility systems 2020, AUS 2020

作者： Maokun, Wang Yibo, Ge Lilin, Xu Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing Engineering Institute of Aircraft Systems AVIC Nanjing China

ISBN: (纸本)9781839535635

As an indispensable detection technology, Gas-liquid phase detection technology is widely used in sectors such as aviation, petroleum, chemical engineering, energy, etc. The current gas-liquid phase detection methods mainly include mechanical detection, equivalent conductivity detection, photorefractive detection, acoustic wave detection, electromagnetic (optical) wave detection, etc. Each detection method has different characteristics and application scope. In this paper, a technical method for gas-liquid two-phase detection based on voice coil vibration is proposed according to the significant differences in physical properties such as density and viscosity of gas and hydraulic pressure. This paper analyzes the impedance characteristics of the voice coil components, establishes a mathematical model based on the voice coil vibration detection system, conducts principle simulation, and completes the test verification and analysis of the detection method. The gas-liquid two-phase detection method based on voice coil vibration proposed in this paper does not rely on electrical and optical characteristics of the detection object, and has the advantages of high sensitivity and reliability and excellent flexibility. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Viscosity of gases

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Fatigue strength analysis of spring tube of deflector jet servo-valve in random vibration environment

Fatigue strength analysis of spring tube of deflector jet se...

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CSAA/IET International Conference on Aircraft utility systems 2020, AUS 2020

作者： Zhang, Zhuolei Yuan, Jiayang Ge, Shenghong Aviation Key Laboratory of science and Technology on Aero Electromechanical System Integration Nanjing Mechatronic and Hydraulic Engineering Research Centre Nanjing210061 China

ISBN: (纸本)9781839535635

By introducing the impulsive inertia force, the mathematical model of deflector jet servo-valve affected by acceleration is established in this paper. Based on the mathematical model, through a time domain transformation of the random vibration's PSD (power spectral density) and the dynamic model of servo-valve, we analyze the stress of the spring tube in frequency domain, thus proposing a method for analyzing the spring tube's fatigue strength in random vibration environment. By above methods, a certain type of deflector jet servo-valve is studied by calculating the cyclic stress of stress concentration part of the spring tube in 20g rms random vibration with hydraulic pressure, and the failure cycle is more than 108. Experiment under such condition is also carried out, and no abnormal performances of the servovalve or fracture of spring tubes does occur, which is consistent with the theoretical result. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Vibration analysis

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Performance Investigation on Rotating Heat Pipes Under High Rotation Speed and Hypergravity

SSRN

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SSRN 2022年

作者： Yang, Xiaorui Zhang, Penglei Ma, Hui Liu, Kehan Zhang, Dalin Institute of Air Conditioning and Refrigeration College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics Nanjing210016 China Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration AVIC Nanjing Engineering Institute of Aircraft System China

Rotating heat pipe (RHP) is a promising candidate to solve the heat dissipation problem of the aviation electric machine, but it faces two challenges: high speed (up to 50000 rpm) and large hypergravity (more than 10g). At present, the performance of RHP under high speed and hypergravity is not clear, which brings great difficulties to its structure design. In this study, a theoritical model of RHPs was developed, considering mixed convection and hypergravity, allowing to calculate different pipe structures. Subsequently, the heat-transfer performance of three typical RHPs (cylinder, taper, step shapes) were studied comparatively under high rotation speeds (5000~50000 rpm) and large hypergravity (up to 15g). The results showed that:1) the increase of rotation speed will strengthen the natural convection and liquid-return ability, thereby enhancing the heat transfer performance, especially for the step RHP;2) unlike the traditional view, the step RHP operated best when the rotation speed was high due to the liquid storage function of the evaporator;3) hypergravity would reduce the performance of RHP significantly by increasing the liquid film thickness, a taper in the condenser can counter hypergravity effectively due to its strong liquidreturn capacity. Combining the advantages of taper and step heat pipes, an optimal structure was proposed, which can operate safely and efficiently under hyper-gravitational acceleration of 15g when the rotation speed is higher than 10000 rpm. © 2022, The Authors. All rights reserved.

关键词： Structural optimization

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Research on stator structure optimization design of the RVDT

Research on stator structure optimization design of the RVDT

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CSAA/IET International Conference on Aircraft utility systems 2020, AUS 2020

作者： Xu, Hua Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing China Engineering Institute of Aircraft Systems No 33 Shuige Raod Nanjing China

ISBN: (纸本)9781839535635

Featuring high sensitivity, good linearity and compact structure, rotary variable differential transformer (RVDT) is widely used in automatic control systems in aerospace such as the aircraft nose-wheel steering system, the rudder control system and the inlet control system. In the RVDT design process, both the uniformity of the internal magnetic field and the rationality of structural process shall be addressed to optimize the structural parameters on the precondition of meeting performance requirements. This paper selects a typical RVDT structure as the research subject, and identifies that the selection of the slot width of the stator core is key to improve process rationality and manufacturing efficiency. A structure optimization scheme is put forward by simulation based on different structural parameters and verified by tests. This optimized structure greatly improves the manufacturing efficiency, and the research findings can be applied to the development of redundant RVDT, which provides strong support for accelerating R&D of such products. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Efficiency

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Research on four-vector control system of aero five-phase permanent magnet synchronous motor

Research on four-vector control system of aero five-phase pe...

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CSAA/IET International Conference on Aircraft utility systems 2020, AUS 2020

作者： Zhang, Linhai Yao, Yeming Xu, Lilin Nanjing Engineering Institute of Aircraft Systems AVIC Jiangsu Province Nanjing211100 China Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration

ISBN: (纸本)9781839535635

As More Electric Aircraft technology develops, applications of motors and motor control in the area of aviation increase sharply. Compared with traditional three-phase PMSM, five-phase PMSM features high stability, high power density, low torque ripple and strong fault tolerance and can better meet requirements of high power to weight ratio and high reliability in aviation. In this paper, four-vector control method of five-phase PMSM is studied to present in details steps in realizing such control method which can be converted directly into engineering language. Simulation analysis shows that such method can enable effective control of five-phase PMSM and has some significance of engineering guidance. It has laid foundation for subsequent application of five-phase PMSM in aviation. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Permanent magnets

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