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15th IEEE Global Reliability and Prognostics and Health Management Conference, PHM-Beijing 2024

作者： Long, Zhou Gan, Hao Yang, Weixin Li, Kai Li, Xiuwen AECC Hunan Aviation Power Plant Research Institute Aero-engine Vibration Technology in Aeronautical Science Key Laboratory Zhuzhou China TangZhi Science & Technology Hunan Development Co.Ltd. Changsha China BeiJing TangZhi Technology Development Co. Ltd. Beijing China

ISBN: (纸本)9798350354010

Aiming at the problems such as difficult monitoring and inaccurate state evaluation of helicopter tail rotor rod bearing. In this paper, temperature and vibration sensors are used to collect the temperature and vibration signals of bearings. Then the collected signal is constructed by means of noise reduction, feature extraction and feature fusion. And the characteristic data set is used as the input of fault diagnosis model after state index evaluation, health index generation and dimensionality reduction. Last, the improved gravity search algorithm (GGSA) is used to optimize the parameters of support vector machine (SVM) diagnosis model to form GGSA-SVM model for bearing fault diagnosis. In the simulation test, compared with the previous method, the number of iterations of the model is reduced by 21 times, the fitness is reduced to 0.4%, and the accuracy of bearing fault diagnosis is increased by 4.4% to 97.9%. The experimental results show that the model can be used for bearing fault diagnosis better. © 2024 IEEE.

关键词： Fault detection

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Health Assessment of Split Torque Transmission System Using Improved Generative Adversarial Networks

Health Assessment of Split Torque Transmission System Using ...

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Wang, Zhi Hu, Niaoqing Xu, Fujian Yang, Yi Hu, Lei Laboratory of Science and Technology on Integrated Logistics Support NUDT Changsha410073 China Beijing Tangzhi Technology Development Co. LTD Beijing100043 China AECC Hunan Aviation Powerplant Research Institute Zhuzhou412002 China Aero-Engine Vibration Technology in Aeronautical Science Key Laboratory Zhuzhou412002 China Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment Hunan University of Science and Technology Xiangtan411201 China

ISBN: (纸本)9783031694820

Split-torque transmission system (STTS) is a new type of helicopter main rotor transmission. It has the characteristics of light quality, fewer transmission stages, high transmission efficiency, high reliability, low noise and so on. It is of great significance to carry out health detection and assessment for helicopter STTS. In order to solve the lack of fault data and priori knowledges, this paper proposes a framework for STTS anomaly detection and health assessment based on improved generative adversarial networks (IGAN). The framework is validated with fault simulation data of a STTS. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Generative adversarial networks

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RUL Prediction of Split Torque Transmission System Using Particle Filtering and Degenerate Model

RUL Prediction of Split Torque Transmission System Using Par...

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Yang, Weixin Wang, Zhi Tang, Xin Hu, Lei Xu, Yuandong AECC Hunan Aviation Powerplant Research Institute Zhuzhou412002 China Aero-Engine Vibration Technology in Aeronautical Science Key Laboratory Zhuzhou412002 China Laboratory of Science and Technology on Integrated Logistics Support NUDT Changsha410073 China Beijing Tangzhi Technology Development Co. LTD. Beijing100043 China Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment Hunan University of Science and Technology Xiangtan411201 China

ISBN: (纸本)9783031694820

The split-torque transmission system (STTS) is considered to be the most likely alternative to a planetary gearbox for helicopter main rotor transmissions. SSTS has obvious advantages in reliability, weight, deceleration ratio, noise, and so on. The remaining useful life (RUL) prediction of STTS is of great significance to support the maintenance of helicopters and prevent them from failure. This paper designs a RUL prediction framework based on particle filtering and degenerate models. The prediction method of the degradation rate tracking particle filter (DRT-PF) eliminates the binding of the fitted model, and estimates and predicts the degradation process of the system by using the statistical law of the degradation rate of the historical data. The prediction framework is validated with simulation signals from a STTS fault model. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Epicyclic gears

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Film cooling effectiveness in the presence of internal hole random roughness: A comprehensive analysis

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International Communications in Heat and Mass Transfer 2025年 165卷

作者： Wang, Xinyu Ye, Lin Li, Wei Zheng, Tianyi Liang, Xiyuan Liu, Cunliang School of Power and Energy Northwestern Polytechnical University Shaanxi Xi'an710129 China State Key Laboratory for Strength and Vibration of Mechanical Structures Xi'an Jiaotong University Shaanxi Xi'an710049 China Science and Technology on Altitude Simulation Laboratory Sichuan Mianyang621000 China Hunan Aviation Powerplant Research Institute Aero Engine Corporation of China Hunan Zhuzhou412002 China

Film cooling, with its excellent cooling performance, is widely applied in the active thermal protection design of aerospace propulsion systems. However, during manufacturing and service, film holes are affected by drilling processes and particle deposition, leading to significant deviations between the actual cooling structures and the original design. These deviations primarily manifest as hole blockage and increased surface roughness, which may cause cooling degradation. Therefore, it is essential to investigate the film cooling performance under structural damage and the jet-mainstream mixing mechanisms of damaged holes. This study focuses on internal roughness as a form of structural damage by investigating three levels of hole roughness—Ra = 3.1 μm (Film hole I), Ra = 35.9 μm (Film hole II), and Ra = 64.9 μm (Film hole III). The selected roughness levels and blowing ratios correspond to the practical range encountered in turbine cooling. The film cooling effectiveness distribution is measured using pressure-sensitive paint technology, and numerical simulations are conducted to analyze the flow field and support the experimental results. The results indicate that cooling degradation caused by internal roughness is mainly reflected in the reduction of high cooling effectiveness areas and the deterioration of cooling performance near the film hole exit. However, increased roughness also leads to an expansion of the film coverage in the spanwise, enhancing cooling performance downstream. Flow field analysis reveals that internal roughness increases the inhomogeneity of coolant velocity distribution inside the hole, strengthening the counter-rotating vortex pair and causing jet lift-off, which reduces the high cooling effectiveness area. Additionally, roughness-induced disturbances enhance turbulence intensity, promoting jet-mainstream mixing and increasing the overall film coverage. © 2025

关键词： Solar sails

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A Model Average Algorithm for Housing Price Forecast with Evaluation Interpretation

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Journal of Quantum Computing 2022年第3期4卷 147-163页

作者： Jintao Fu Yong Zhou Qian Qiu Guangwei Xu Neng Wan School of Computer Science Southwest Petroleum UniversityChengdu610500China Key Laboratory on Aero-Engine Altitude Simulation Technology Sichuan Gas Turbine EstablishmentAECCMianyang621000China Aero Engine Academy of China Aero Engine Corporation of ChinaBeijing101300China

In the field of computer research,the increase of data in result of societal progress has been remarkable,and the management of this data and the analysis of linked businesses have grown in *** are numerous practical uses for the capability to extract key characteristics from secondary property data and utilize these characteristics to forecast home *** regression methods in machine learning to segment the data set,examine the major factors affecting it,and forecast home prices is the most popular method for examining pricing *** is challenging to generate precise forecasts since many of the regression models currently being utilized in research are unable to efficiently collect data on the distinctive elements that correlate y with a high degree of house price *** today’s forecasting studies,ensemble learning is a very prevalent and well-liked study *** regression integration computation of large housing datasets can use a lot of computer resources as well as computation time,and ensemble learning uses more resources and calls for more machine support in integrating diverse *** Average Model suggested in this paper uses the concept of fusion to produce integrated analysis findings from several models,combining the best benefits of separate *** Average Model has a strong applicability in the field of regression prediction and significantly increases computational *** technique is also easier to replicate and very effective in regression *** using regression processing techniques,this work creates an average of different regression models using the AM(Average Model)algorithm in a novel *** evaluating essential models with 90%accuracy,this technique significantly increases the accuracy of house price *** experimental results show that the AM algorithm proposed in this paper has lower prediction error than other comparison algorithms,and the prediction accurac

关键词： Machine learning AM algorithm price forecast regression algorithm Model evaluation

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Arrangement of Signal Measuring Points of Planetary Gear Transmission Based on Dynamics simulation

Arrangement of Signal Measuring Points of Planetary Gear Tra...

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Prognostics and System Health Management Conference (PHM-Qingdao)

作者： Weixin Yang Feichun Liu Tang Xin Rupeng Zhu AECC Hunan Aviation Powerplant Research Institute Zhuzhou China Aero-engine vibration technology in Aeronautical Science Key Laboratory Zhuzhou China Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (数字)9798350354010

ISBN: (纸本)9798350354027

Planetary gear box has complex structure and high failure rate. How to effectively reveal the fault characteristics of the key components in the planetary gear box and find and solve the fault in time is the focus and difficulty of current research. This paper takes the planetary gear meshing system as the research object, combines multi-body dynamics and finite element analysis, considers the transmission path of vibration signals, establishes a rigid-flexible coupling model, analyzes the characteristics and causes of the vibration signals obtained by simulation, seeks the best measuring point position of the vibration acceleration sensor, and verifies the effectiveness of the simulation model through the measured signals.

关键词： Vibrations Analytical models Gears Current measurement Vibration measurement Position measurement Extraterrestrial measurements Finite element analysis Reliability Prognostics and health management

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Fractional Order Modeling of Dynamic Response for Shielded Total Temperature Probes Considering Unsteady aerothermal Processes

SSRN

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SSRN 2024年

作者： Li, Zhen Zhang, Weihao He, Tingyu Yang, Weiping School of Energy and Power Engineering Beihang University Beijing100191 China National Key Laboratory of Science and Technology on Aero-Engine Aero-thermodynamics Beijing100191 China Hunan Aviation Powerplant Research Institute Zhuzhou412002 China

In this paper, unsteady conjugate heat transfer simulation with radiation model was employed to analyze the gas flow, heat transfer characteristics inside and outside the typical shielded total temperature probe. It was found that the calculation formula of time constant, which represents the dynamic response performance, is not applicable to the structurally complex shielded probe and the error in the evaluation exceeds 40%. Through careful evaluation of dynamic heat transfer paths, one-dimensional heat transfer equations of the shield and the junction are constructed to overcome the shortcomings of traditional zero-dimensional lumped parameter method. Considering the unsteady aerothermal processes in dynamic response, fractional order model has an advantage over first order system for junction heat conduction in avoiding the infinite velocity of heat waves and abrupt change of temperature. Moreover, for shield heat conduction, it’s necessary to employ non-Fourier heat conduction model to describe finite heat diffusion. Combined automatic control system with numerical solution, the new model reduces time constant error of the shielded total temperature probe by approximately 50% compared to the lumped parameter method. The steady state error after stabilization reaches an agreement with steady state error model, demonstrating good effect. © 2024, The Authors. All rights reserved.

关键词： Dynamic response

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μ-Synthesis-based robust L1 adaptive control for aeropropulsion system test facility

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aerospace science and technology 2023年第1期140卷

作者： Liu, Jiashuai Wang, Xi Liu, Xi Zhu, Meiyin Pei, Xitong Dan, Zhihong Zhang, Song School of Energy and Power Engineering Beihang University Beijing100191 China Zhongfa Aviation Institute Beihang University Hangzhou311115 China Research Institute of Aero-Engine Beihang University Beijing100191 China Science and Technology on Altitude Simulation Laboratory AECC Sichuan Gas Turbine Establishment Mianyang621703 China

For aeropropulsion System Test Facility (ASTF) applied in aero-engine performance testing, it is critical to accurately control the pressure and temperature of the airflow to simulate the flight environment. This article presents a μ-synthesis-based robust L1 adaptive control method for ASTF to achieve excellent control performance within a wide working envelope. A μ controller based on a reference model is first designed as the baseline, which can address the coupling effect and guarantee the desired dynamic despite uncertainties. Thereafter, an L1 adaptive compensation term is incorporated to cancel out the large (matched and unmatched) uncertainties, and then recover the baseline performance. This control scheme augments the μ controller to control the ASTF over a wide working envelope and avoids complex gain scheduling design. Furthermore, μ controller can still ensure the robust performance of the closed-loop system even if the adaptive compensation is inadequate. Numerical simulations are performed on high-fidelity nonlinear model to verify the effectiveness of the proposed method. Compared with other state-of-the-art techniques, the robust L1 adaptive control possesses better performance and robustness. © 2023 Elsevier Masson SAS

关键词： Controllers

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CFD OPTIMUM DESIGN OF SUPERSONIC EJECTOR SYSTEM STRUCTURE OF TEST CELL 32

CFD OPTIMUM DESIGN OF SUPERSONIC EJECTOR SYSTEM STRUCTURE OF...

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32nd Congress of the International Council of the aeronautical sciences, ICAS 2021

作者： Su, Jinyou Tang, Zhili Tian, Jinhu Pan, Biao Luo, Shaojun Key Laboratory of Unsteady Aerodynamics and Flow Control Ministry of Industry and Information Technology Nanjing University of Aeronautics and Astronautics Nanjing210016 China Science and Technology on Altitude Simulation Laboratory Sichuan Gas Turbine Establishment Aero Engine Corporation of China Sichuan Mianyang621000 China

ISBN: (纸本)9783932182914

In order to study the test requirements of vectoring nozzle aeroengine in high altitude simulation test bed, and the matching between the vectoring nozzle and the exhaust ejector of the test bed in the supersonic working state. Numerical simulation method is used to determine the straight section inner diameter, length diameter ratio and injection ratio of the exhaust ejector of the test bench, and the relative position of the vectoring nozzle and the exhaust ejector, and the aerodynamic structure of the ejector of the test bench under the condition of vectoring nozzle test. Using the typical working points of vectoring nozzle to check the applicability of the ejector aerodynamic structure, The results show that the aerodynamic structure of the ejector meets the test requirements of the vectoring nozzle. © 2021 32nd Congress of the International Council of the aeronautical sciences, ICAS 2021. All rights reserved.

关键词： Computational fluid dynamics

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A Multi-Feature Fusion Method for Fault Diagnosis with Applications in Tail Paddle Lever Bearing

A Multi-Feature Fusion Method for Fault Diagnosis with Appli...

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Prognostics and System Health Management Conference (PHM-Qingdao)

作者： Zhou Long Hao Gan Weixin Yang Kai Li Xiuwen Li AECC Hunan Aviation Power Plant Research Institute Aero-engine vibration technology in Aeronautical Science Key Laboratory Zhuzhou China TangZhi Science & Technology Hunan Development Co. Ltd. Changsha China BeiJing TangZhi Technology Development Co. LTD. Beijing China

ISBN: (数字)9798350354010

ISBN: (纸本)9798350354027

Aiming at the problems such as difficult monitoring and inaccurate state evaluation of helicopter tail rotor rod bearing. In this paper, temperature and vibration sensors are used to collect the temperature and vibration signals of bearings. Then the collected signal is constructed by means of noise reduction, feature extraction and feature fusion. And the characteristic data set is used as the input of fault diagnosis model after state index evaluation, health index generation and dimensionality reduction. Last, the improved gravity search algorithm (GGSA) is used to optimize the parameters of support vector machine (SVM) diagnosis model to form GGSA-SVM model for bearing fault diagnosis. In the simulation test, compared with the previous method, the number of iterations of the model is reduced by 21 times, the fitness is reduced to 0.4%, and the accuracy of bearing fault diagnosis is increased by 4.4% to 97.9 % . The experimental results show that the model can be used for bearing fault diagnosis better.

关键词： Fault diagnosis Temperature sensors Vibrations Support vector machines Temperature Tail Sensor phenomena and characterization Feature extraction Vectors Indexes

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