Article
Engineering, Mechanical
Suiyu Chen, Yongmin Yang, Haifeng Hu, Fengjiao Guan, Guoji Shen, Zifang Bian, Haonan Guo
Summary: This paper proposes a blind interpolation method for multi-frequency BTT signals (BIMF) and validates it using two novel algorithms. The simulation results demonstrate the accuracy and advantages of the proposed method, while the experimental results validate its accuracy and stability in spectrum identification.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Acoustics
Zhenfang Fan, Hongkun Li, Jiannan Dong, Xinwei Zhao, Daitong Wei, Qiang Zhou
Summary: This study demonstrates that blade vibration difference can estimate blade vibration and establishes a two-probe blade vibration measurement system. A method for parameter identification of blade vibration based on blade vibration difference is proposed, verifying that blade vibration difference can be measured with high accuracy by the BTT system, with consistent frequency results.
JOURNAL OF SOUND AND VIBRATION
(2021)
Article
Engineering, Mechanical
Wenbo Li, Shaohua Tian, Zhibo Yang, Xingwu Zhang, Xuefeng Chen
Summary: Blade tip timing (BTT) is the most promising method for online turbine blade health monitoring. This study proposes a multi-spectrum fusion (MSF) single-probe BTT signal analysis method that improves the frequency analysis capability and reduces dependence on prior information. Numerical simulations and experiments verify the feasibility and robustness of the MSF and demonstrate the similarity between single-probe BTT and multi-probe BTT in analyzing asynchronous blade vibration.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Computer Science, Information Systems
Zhongsheng Chen, Hao Sheng, Lianying Liao, Chengwu Liu, Yeping Xiong
Summary: This paper proposes a method that combines deep learning with blade tip-timing (BTT) vibration reconstruction. By utilizing a specific convolutional neural network (CNN) and building a multi-coset BTT measurement model, this method achieves accurate and efficient reconstruction of vibration orders under variable speeds, outperforming classical compressed sensing (CS) algorithms.
Article
Engineering, Mechanical
Wenbo Li, Shaohua Tian, Zhibo Yang, Guangrong Teng, Xuefeng Chen
Summary: Blade tip timing (BTT) is the most promising online monitoring method for turbine blade health. Existing BTT data analysis methods have limited application scope and slow calculation speed, which hinder their practical industrial application. In this study, a parametric Bayesian model for rotating blade frequency tracking with a single probe is proposed, which has a wider application range, fast computation speed, and minimizes the number of probes used. Numerical simulation and experimental results demonstrate the feasibility, robustness, and advantages of this method in signal amplitude estimation. These findings are significant for online blade health monitoring of turbines.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Electrical & Electronic
Shuming Wu, Zengkun Wang, Haoqi Li, Zhibo Yang, Shaohua Tian, Ruqiang Yan, Shibin Wang, Xuefeng Chen
Summary: Cracks are one of the most fatal faults of rotating blades, and the blade tip timing technique can be used to detect cracks early and ensure the safe operation of gas turbines. This article proposes a method of crack detection using BTT data, which can effectively diagnose cracks by studying parameters such as blade frequency, amplitude, and interblade distance.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Mechanical
Zhicheng Xiao, Yiming Meng, Hua Ouyang
Summary: Novel methods have been proposed to enhance the capabilities of a blade tip timing system by simultaneously measuring blade tip clearance and blade tip velocity. These methods utilize convex lenses to adjust the optical path and introduce new protocols and algorithms for data processing, enabling accurate measurements of clearance and velocity under various operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Mechanical
Zhibo Liu, Fajie Duan, Guangyue Niu, Dechao Ye, Junnan Feng, Zhonghai Cheng, Xiao Fu, Jiajia Jiang, Jing Zhu, Meiru Liu
Summary: The paper introduces reconstruction conditions based on the MUSIC algorithm, which successfully overcomes spectrum aliasing, reduces computational complexity, and improves frequency identification accuracy. Furthermore, an amplitude identification method using DFT and remainder theorem is proposed to address the issue of extracting amplitude directly, with its feasibility verified through simulations and experiments.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Zhenfang Fan, Hongkun Li, Jiannan Dong, Xinwei Zhao, Hongwei Cao
Summary: This paper introduces the importance of Blade Tip Timing (BIT) technology in estimating blade vibration and diagnosing faults, proposes the SSLF method to overcome the limitations of the OPR method, and verifies the effectiveness of the SSLF method through theoretical analysis and experimental investigations.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Mechanical
Xulong Zhang, Weimin Wang, Kang Chen, Weibo Li, Dengpeng Zhang, Linlin Tian
Summary: This paper discusses the application of Blade Tip Timing (BTT) technology in measuring blade vibrations, and proposes a method for measuring the five-dimensional blade tip movements. By tracking the actual measuring point position through BTT data, this method can accurately measure the blade's axial, lean, bend, untwist, and sweep movements, with simulation results confirming its effectiveness and accuracy.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Mechanical
Dusan Maturkanic, Pavel Prochazka, Jan Kozanek, Mohammed Lamine Mekhalfia
Summary: This paper describes ongoing work on a complex system for measuring and calculating turbine blade vibrations. The system uses a precise separation approach to calculate pure blade vibration. The paper introduces the method of calculating pure blade vibration based on an analytical approach and analyzes its reliability and expected accuracy.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Mechanical
Jia-Hui Cao, Zhi-Bo Yang, Guang-Rong Teng, Xue-Feng Chen
Summary: Blades in turbomachinery are crucial but susceptible to failure due to harsh working conditions. Blade tip timing (BTT) is a noncontact and efficient technique for blade vibration monitoring. In this study, we proposed coprime sampling-based BTT (CS-BTT) and nested sampling-based BTT (NS-BTT) methods to reconstruct the spectrum and identify blade parameters. The proposed methods improve computational efficiency by focusing on reconstructing autocorrelation/covariance information. The effectiveness and robustness of the proposed methods were validated through simulations and experiments.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Mechanical
Jinghui Xu, Baijie Qiao, Junjiang Liu, Chunyan Ao, Guangrong Teng, Xuefeng Chen
Summary: An optimization model based on generalized minimax-concave (GMC) penalty is developed in this paper for reconstructing undersampled BTT signals, achieving accurate blade-tip displacement and blade natural frequency measurements.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Aerospace
Zhongsheng Chen, Hao Sheng, Yemei Xia
Summary: Blade Tip-Timing (BTT) is considered a promising method for online blade vibration monitoring. This paper introduces a novel Compressed Sensing (CS) method based on Multi-Coset Angular Sampling (MCAS) to address the challenge of blind multi-band BTT vibration reconstruction. Numerical simulations validate the feasibility of the proposed method and compare the performances of different reconstruction algorithms under varying conditions. Factors such as the number and placement of BTT sensors, as well as measurement noise, have been shown to impact the reconstruction performances.
CHINESE JOURNAL OF AERONAUTICS
(2021)
Article
Engineering, Mechanical
Jia-Hui Cao, Zhi-Bo Yang, Hao-Qi Li, Guang-Rong Teng, Shao-Hua Tian, Wen-Bo Li, Xue-Feng Chen
Summary: This study proposes a method for frequency identification of rotating blades using a single blade tip timing (BTT) probe. By obtaining a Sampling-Aliasing Frequency (SAFE) map and identifying resonance centers, the natural frequency of the blades can be accurately extracted from a single BTT measurement.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Hongying He, Youlin Zhao, Bin Lu, Yunze He, Guoji Shen, Zhiyi He, Hongjin Wang
Summary: This paper presents a resonant cavity microwave thermography detection system based on the principle of microwave heating, which is used for detecting debonding defects in composite materials. By thermally loading the test piece and analyzing temperature differences, the system can achieve high-precision debonding detection.
IEEE SENSORS JOURNAL
(2022)
Article
Automation & Control Systems
Baoyuan Deng, Wentao Wu, Xiang Li, Hongjin Wang, Yunze He, Guoji Shen, Yongpeng Tang, Ke Zhou, Zhenjun Zhang, Yaonan Wang
Summary: This article proposes an active 3-D thermography system that utilizes a thermal camera for moving objects. The system eliminates the need for an independent 3-D sensor by using a mathematical model to integrate line scanning thermography and laser triangulation. The system's feature-free registration enables fast and robust registration of thermogram sequence and 3-D shape. The experiments demonstrate the system's accuracy and capability for subsurface defects detection, making it an ideal tool for 3-D measurement, defects detection, and quality control in production lines.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Physics, Multidisciplinary
Liangyuan Huang, Jihong Wen, Yi Yang, Ling Chen, Guoji Shen
Summary: This paper presents a visual fault detection method for induction motors based on zero-sequence current and an improved symmetric dot matrix pattern. By analyzing fault features in current signals, the need for additional sensors is avoided, and a high fault detection accuracy is achieved in the experiments.
Article
Engineering, Multidisciplinary
Zhaoyang Shen, Zhanqun Shi, Guoji Shen, Dong Zhen, Fengshou Gu, Andrew Ball
Summary: This paper proposes a fault detection method for planetary gearboxes based on informative singular value decomposition and envelope spectrum analysis. The method decomposes the vibration signal into component signals using singular value decomposition, and estimates the fault informativeness using negentropy and cyclic autocorrelation. Finally, the fault features are extracted using envelope spectrum analysis.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Mechanical
Suiyu Chen, Yongmin Yang, Haifeng Hu, Fengjiao Guan, Guoji Shen, Zifang Bian, Haonan Guo
Summary: This paper proposes a blind interpolation method for multi-frequency BTT signals (BIMF) and validates it using two novel algorithms. The simulation results demonstrate the accuracy and advantages of the proposed method, while the experimental results validate its accuracy and stability in spectrum identification.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Review
Engineering, Electrical & Electronic
Zhengyang Yin, Niaoqing Hu, Jiageng Chen, Yi Yang, Guoji Shen
Summary: This paper provides a systematic and comprehensive summary of the research on electromechanical actuators (EMAs) in terms of fault modes, fault diagnosis, prognosis, and health management (DPHM). It introduces the basic structure and common fault modes of EMAs, studies the failure mechanism of EMAs, and reviews the algorithms of DPHM for EMAs in detail. The paper also analyzes the perception strategies of data acquisition, reviews the fault diagnosis methods for EMAs, and introduces the research on remaining useful life (RUL) prediction and fault-tolerant control. Furthermore, it identifies existing problems in EMA DPHM research and predicts possible future directions.
IET ELECTRIC POWER APPLICATIONS
(2022)
Article
Engineering, Multidisciplinary
Jiao Hu, Niaoqing Hu, Yi Yang, Lun Zhang, Guoji Shen
Summary: The planetary gearset is an essential component in helicopter transmission, and the nonlinear dynamic factors in the gearbox system greatly affect its vibration response characteristics and pose challenges to crack fault detection and diagnosis. This study establishes a 21 degrees of freedom model to analyze the nonlinear properties of the planetary gear set and identifies optimal fault detection indicators through analysis of natural frequency and statistical indicators. The study also uses time-domain waveform analysis and power spectrum analysis to point out crack fault symptoms, providing insights into the fault mechanism and achieving fault isolation. Experimental verification of the model's effectiveness with tooth crack in the planetary gear set is conducted.
Article
Engineering, Multidisciplinary
Zifang Bian, Haifeng Hu, Yongmin Yang, Suiyu Chen, Fen Wei, Guoji Shen, Fengjiao Guan
Summary: Blade tip timing (BTT) is a promising noncontact measurement technology for rotating blade health monitoring. However, the limitations of the number and layout of probes required by BTT hinder its application. To overcome these drawbacks, a probe waveform spectral reconstruction method (PWSR) is proposed, combining the advantages of waveform analysis and wideband signal interpolation methods. PWSR accurately identifies blade vibration parameters, proving its effectiveness and robustness through simulations and experiments.
Article
Engineering, Mechanical
Zhengyang Yin, Yi Yang, Guoji Shen, Ling Chen, Niaoqing Hu
Summary: This paper establishes a comprehensive dynamic model to study the fault characteristics that may occur in the displacement and acceleration responses of EMA systems. A numerical calculation method of fault characteristics is proposed based on the phenomenon observed in simulation results. The effectiveness of the established models and the identified phenomenon are verified by experiments.
Article
Physics, Multidisciplinary
Liangyuan Huang, Guoji Shen, Niaoqing Hu, Ling Chen, Yi Yang
Summary: This paper proposes a coupled electromagnetic-dynamic modeling method for induction motors, introducing unbalanced magnetic pull. Simulation results verify the effectiveness of the model and reveal the modulation in the vibration spectrum caused by the unbalanced magnetic pull. The proposed model can help obtain difficult-to-measure information and serve as a technical basis for further research on the nonlinear characteristics and chaos in induction motors.
Article
Engineering, Mechanical
Zhengyang Yin, Yi Yang, Guoji Shen, Yuehao Li, Liangyuan Huang, Niaoqing Hu
Summary: This study establishes dynamic models to analyze the vibration response characteristics of electromechanical actuators (EMAs) ball screw pairs under normal and faulty conditions. Experimental results verify the observability of the fault characteristic at different speeds.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Proceedings Paper
Engineering, Manufacturing
Liangyuan Huang, Guoji Shen
Summary: This paper investigates the application of CNN in equipment status recognition and explores the impact of different one-dimensional CNN structures on performance parameter regression prediction. The results show that the size of the convolution kernels depends on the attributes of the input features. In the case of independent and direct feature input, using 1x1 convolution kernels and the Network In Network (NIN) structure can effectively improve training performance.
PROCEEDINGS OF INCOME-VI AND TEPEN 2021: PERFORMANCE ENGINEERING AND MAINTENANCE ENGINEERING
(2023)
Proceedings Paper
Engineering, Manufacturing
Lei Wei, Zhe Cheng, Niaoqing Hu, Junsheng Cheng, Guoji Shen
Summary: This paper proposes a data-driven fault diagnosis method, which establishes signal prediction models based on the analysis of parameters such as temperature and pressure under normal operation. By using the dynamic threshold method, the ability of early fault detection at the initial stage of equipment operation is improved, providing scientific support for fault early warning and maintenance of special equipment.
PROCEEDINGS OF INCOME-VI AND TEPEN 2021: PERFORMANCE ENGINEERING AND MAINTENANCE ENGINEERING
(2023)
Article
Chemistry, Multidisciplinary
Zhexiang Zou, Chun Li, Baoshan Huang, Guoji Shen, Fengshou Gu, Andrew D. Ball
Summary: This study developed a dynamic model for belt-driven electromechanical spindle systems, which can couple multi-physics variables including mechanical dynamics and electromagnetic effects. It was found that belt transmission can cause rich harmonic sidebands in the motor current spectrum, and excessive wear and inadequate tension worsen belt wear.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Electrical & Electronic
Liangyuan Huang, Niaoqing Hu, Yi Yang, Ling Chen, Jihong Wen, Guoji Shen
Summary: A new method for detecting motor bearing faults is proposed in this study, which involves constructing coupled electromagnetic and dynamic models and using stator currents for fault detection. Experimental results confirm the effectiveness of the proposed model.
Article
Engineering, Multidisciplinary
Sicheng Jiao, Shixiang Wang, Minge Gao, Min Xu
Summary: This paper presents a non-contact method of thickness measurement for thin-walled rotary shell parts based on a chromatic confocal sensor. The method involves using a flip method to obtain surface profiles from both sides of the workpiece, measuring the decentration and tilt errors of the workpiece using a centering system, establishing a unified reference coordinate system, reconstructing the external and internal surface profiles, and calculating the thickness. Experimental results show that the method can accurately measure the thickness of a sapphire spherical shell workpiece and is consistent with measurements of other materials.
Article
Engineering, Multidisciplinary
Rajeev Kumar, Sajal Agarwal, Sarika Pal, Alka Verma, Yogendra Kumar Prajapati
Summary: This study evaluated the performance of a CaF2-Ag-MXene-based surface plasmon resonance (SPR) sensor at different wavelengths. The results showed that the sensor achieved the maximum sensitivity at a wavelength of 532 nm, and higher sensitivities were obtained at shorter wavelengths at the expense of detection accuracy.
Article
Engineering, Multidisciplinary
Attilio Di Nisio, Gregorio Andria, Francesco Adamo, Daniel Lotano, Filippo Attivissimo
Summary: Capacitive sensing is a widely used technique for a variety of applications, including avionics. However, current industry standard Capacitive Level Sensors (CLSs) used in helicopters perform poorly in terms of sensitivity and dynamic characteristics. In this study, novel geometries were explored and three prototypes were built and tested. Experimental validation showed that the new design featuring a helicoidal slit along the external electrode of the cylindrical probe improved sensitivity, response time, and linearity.
Article
Engineering, Multidisciplinary
Kai Yang, Huiqin Wang, Ke Wang, Fengchen Chen
Summary: This paper proposes an effective measurement method for dynamic compaction construction based on time series model, which enables real-time monitoring and measurement of anomalies and important construction parameters through simulating motion state transformation and running time estimation.
Article
Engineering, Multidisciplinary
Hui Fu, Qinghua Song, Jixiang Gong, Liping Jiang, Zhanqiang Liu, Qiang Luan, Hongsheng Wang
Summary: An automatic detection and pixel-level quantification model based on joint Mask R-CNN and TransUNet is developed to accurately evaluate microcrack damage on the grinding surfaces of engineering ceramics. The model is effectively trained on actual micrograph image dataset using a joint training strategy. The proposed model achieves reliable automatic detection and fine segmentation of microcracks, and a skeleton-based quantification model is also proposed to provide comprehensive and precise measurements of microcrack size.
Review
Engineering, Multidisciplinary
Sang Yeob Kim, Da Yun Kwon, Arum Jang, Young K. Ju, Jong-Sub Lee, Seungkwan Hong
Summary: This paper reviews the categorization and applications of UAV sensors in forensic engineering, with a focus on geotechnical, structural, and water infrastructure fields. It discusses the advantages and disadvantages of sensors with different wavelengths and addresses the challenges of current UAV technology and recommendations for further research in forensic engineering.
Article
Engineering, Multidisciplinary
Anton Nunez-Seoane, Joaquin Martinez-Sanchez, Erik Rua, Pedro Arias
Summary: This article compares the use of Mobile Laser Scanners (MLS) and Aerial Laser Scanners (ALS) for digitizing the road environment and detecting road slopes. The study found that ALS data and its corresponding algorithm achieved better detection and delimitation results compared to MLS. Measuring the road from a terrestrial perspective negatively impacted the detection process, while an aerial perspective allowed for scanning of the entire slope structure.
Article
Engineering, Multidisciplinary
Nur Luqman Saleh, Aduwati Sali, Raja Syamsul Azmir Raja Abdullah, Sharifah M. Syed Ahmad, Jiun Terng Liew, Fazirulhisyam Hashim, Fairuz Abdullah, Nur Emileen Abdul Rashid
Summary: This study introduces an enhanced signal processing scheme for detecting mouth-click signals used by blind individuals. By utilizing additional band-pass filtering and other steps, the detection accuracy is improved. Experimental results using artificial signal data showed a 100% success rate in detecting obstacles. The emerging concepts in this research are expected to benefit radar and sonar system applications.
Article
Engineering, Multidisciplinary
Jiqiang Tang, Shengjie Qiu, Lu Zhang, Jinji Sun, Xinxiu Zhou
Summary: This paper studies the magnetic noise level of a compact high-performance magnetically shielded room (MSR) under different operational conditions and establishes a quantitative model for magnetic noise calculation. Verification experiments show the effectiveness of the proposed method.
Review
Engineering, Multidisciplinary
Krzysztof Bartnik, Marcin Koba, Mateusz Smietana
Summary: The demand for miniaturized sensors in the biomedical industry is increasing, and optical fiber sensors (OFSs) are gaining popularity due to their small size, flexibility, and biocompatibility. This study reviews various OFS designs tested in vivo and identifies future perspectives and challenges for OFS technology development from a user perspective.
Article
Engineering, Multidisciplinary
Yue Wang, Lei Zhou, Zihao Li, Jun Wang, Xuangou Wu, Xiangjun Wang, Lei Hu
Summary: This paper presents a 3-D reconstruction method for dynamic stereo vision of metal surface based on line structured light, overcoming the limitation of the measurement range of static stereo vision. The proposed method uses joint calibration and global optimization to accurately reconstruct the 3-D coordinates of the line structured light fringe, improving the reconstruction accuracy.
Article
Engineering, Multidisciplinary
Jaafar Alsalaet
Summary: Order tracking analysis is an effective tool for machinery fault diagnosis and operational modal analysis. This study presents a new formulation for the data equation of the second-generation Vold-Kalman filter, using separated cosine and sine kernels to minimize error and provide smoother envelopes. The proposed method achieves high accuracy even with small weighting factors.
Article
Engineering, Multidisciplinary
Tonglei Cao, Kechen Song, Likun Xu, Hu Feng, Yunhui Yan, Jingbo Guo
Summary: This study constructs a high-resolution dataset for surface defects in ceramic tiles and addresses the scale and quantity differences in defect distribution. An improved approach is proposed by introducing a content-aware feature recombination method and a dynamic attention mechanism. Experimental results demonstrate the superior accuracy and efficiency of the proposed method.
Article
Engineering, Multidisciplinary
Qinghong Fu, Yunxi Lou, Jianghui Deng, Xin Qiu, Xianhua Chen
Summary: Measurement and quantitative characterization of aging-induced gradient properties is crucial for accurate analysis and design of asphalt pavement. This research proposes the composite specimen method to obtain asphalt binders at different depths within the mixture and uses dynamic shear rheometer tests to measure aging-induced gradient properties and reveal internal mechanisms. G* master curves are constructed to investigate gradient aging effects in a wide range. The study finds that the composite specimen method can effectively restore the boundary conditions and that it is feasible to study gradient aging characteristics within the asphalt mixture. The study also observes variations in G* and delta values and the depth range of gradient aging effects for different aging levels.
Article
Engineering, Multidisciplinary
Min Li, Kai Wei, Tianhe Xu, Yali Shi, Dixing Wang
Summary: Due to the limitations of ground monitoring stations in China for the BDS, the accuracy of BDS Medium Earth Orbit (MEO) satellite orbits can be influenced. To overcome this, low Earth orbit (LEO) satellites can be used as additional monitoring stations. In this study, data from two LEO satellites were collected to improve the precise orbit determination of the BDS. By comparing the results with GPS and BDS-2/3 solutions, it was found that including the LEO satellites significantly improved the accuracy of GPS and BDS-2/3 orbits.
