Article
Automation & Control Systems
Li Wang, Sai Ma, Qinkai Han, Fulei Chu
Summary: A new unified sparse TA analysis (STFA) framework is proposed for TF analysis in industrial engineering applications, with superior properties for energy concentration, denoising, component separation, and reconstruction, especially for signals with fast-varying features.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Electrical & Electronic
Chaowei Tong, Shibin Wang, Ivan W. Selesnick, Ruqiang Yan, Xuefeng Chen
Summary: The proposed ridge-aware weighted sparse TF representation (RWSTF) effectively concentrates energy of signals, suitable for signal reconstruction and denoising, and exhibits superior performance in terms of computational efficiency.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Geochemistry & Geophysics
Jia Su, Mengru Xi, Yanyun Gong, Mingliang Tao, Yifei Fan, Ling Wang
Summary: A novel algorithm combining time-frequency-pulse joint characteristics and robust principal component analysis is proposed for wideband interference mitigation in synthetic aperture radar systems. Experimental results show that the algorithm effectively suppresses wideband interferences while preserving useful information as much as possible.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Lu Xu, Xingyao Yin, Zhaoyun Zong, Kun Li
Summary: A novel time-frequency analysis method called synchrosqueezing matching pursuit is proposed to enhance the energy aggregation of the time-frequency plane by squeezing the time-frequency distribution into near the center time and frequency of the selected wavelet with a 2-D Gaussian function. The results demonstrate the feasibility and superiority of the method in describing reservoir boundaries.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2021)
Article
Automation & Control Systems
Chengbin Liang, Zhaosheng Teng, Jianmin Li, Wenxuan Yao, Shiyan Hu, Yan Yang, Qing He
Summary: The proposed Kaiser window-based S-transform (KST) accurately detects power quality disturbances in power systems and achieves significant advantages in time-frequency analysis.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Electrical & Electronic
Kathleen Yang, Salman Salamatian, Rafael G. L. D'Oliveira, Muriel Medard
Summary: In the wideband regime, many popular modulation schemes fail without channel state information. This work presents a scheme called wideband time frequency coding, which achieves high rates without requiring any channel state information. Wideband time frequency coding combines impulsive frequency shift keying with pulse position modulation to encode information in both the transmitted frequency and transmission time period.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Pablo Gill Estevez, Pablo Marchi, Cecilia Galarza, Marcelo Elizondo
Summary: This paper presents a methodology for analyzing non-stationary forced oscillations using FSST for time-frequency representation and DEF method for locating the source of FOs. Testing with simulated and real PMU data shows that the FSST-based signal decomposition provides a systematic framework for the application of the DEF method to non-stationary FOs.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Geochemistry & Geophysics
Yang Yang, Youbo Lei, Naihao Liu, Zhiguo Wang, Jinghuai Gao, Jicai Ding
Summary: In this study, a physically informed autoencoder model, named SparseTFNet, is proposed to bridge the gap between traditional sparsity-based transforms and DL-based transforms for seismic signal processing. This approach can provide high accuracy TF representations in seismic data analysis.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Ying Huang, Wenjie Bao, Fucai Li, Xiaolu Li
Summary: In this study, a sparse time-frequency representation (TFR) with an adaptive weight based on instantaneous frequency (IF) estimation is proposed to improve the concentration and accuracy of time-frequency energy. The method is validated through simulations and experimental signals.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Geochemistry & Geophysics
Jingkun Sui, Jinsong Li, Xiaodong Zheng, Tianyue Hu
Summary: The dips of underground reflectors provide valuable information about geological structures and are widely used in seismic data processing. This letter proposes an algorithm that uses the dip to guide the window function, and introduces the energy weighted average algorithm and Hilbert transform to enhance the robustness of the algorithm. Model testing and field data application have confirmed the accuracy and practicality of this algorithm.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Computer Science, Information Systems
Woong-Hee Lee, Ki Won Sung
Summary: This letter proposes a different approach to sparse channel estimation by utilizing the non-orthogonal superposition of geometric sequences in the frequency domain. The channel estimation problem is converted into the extraction of the geometric sequence parameters, and the proposed scheme outperforms existing algorithms in high SNR and large bandwidth conditions.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Engineering, Mechanical
Shibin Wang, Chuanyi Cheng, Jianghan Zhou, Fuhua Qin, Yining Feng, Baoqing Ding, Zhibin Zhao, Xuefeng Chen
Summary: This paper proposes a reassignment-enable reweighted sparse time-frequency method, which can achieve high energy concentration and highly accurate reconstruction when analyzing signals with fast-varying instantaneous frequency. It proves to be effective in the vibration analysis of aircraft engine rub-impact fault.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Electrical & Electronic
Guilherme Heim Weber, Hector Lise de Moura, Daniel Rodrigues Pipa, Cicero Martelli, Jean Carlos Cardozo da Silva, Marco Jose da Silva
Summary: This paper proposes a Sparse Inverse Chirp Z Transform approach designed for sparse time-domain signals representing localized fault locations in cables. Two algorithms, OMP and FISTA, are introduced for conversion, with verified performances in comparison with reference values for simulated and experimental data.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Pritiranjan Khatua, Kailash Chandra Ray
Summary: This article introduces a new VLSI architecture for hardware implementation of DCT-based harmonic wavelet, which was prototyped on a commercially available virtex5 FPGA. The real-time captured results of the implementation were verified with simulation results using a logic analyzer. The maximum operating frequency of the implementation was reported as 114.34 MHz, with a total ON-chip power of 1.102 W and dynamic power dissipation of 68 mW at a 12% toggle rate. The area utilization of the implementation targeting the FPGA device was also reported.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Civil
Yongchun Miao, Jianghui Li, Haixin Sun
Summary: The article introduces a method for acoustic event detection by extracting time-frequency representation features. This method achieves high energy concentration time-frequency representation through anisotropic chirplet transform and reconstructs multimodal sparse representation using a structure-split-merge algorithm, providing instantaneous frequency and time features. Validation results show that the method performs well in detecting shallow water experimental underwater acoustic communication signals and audio signals generated by whales.
IEEE JOURNAL OF OCEANIC ENGINEERING
(2021)
Article
Acoustics
Xinwei Zhao, Hongkun Li, Shuhua Yang, Zhenfang Fan, Jiannan Dong, Hongwei Cao
Summary: This paper presents a novel method for measuring impeller blade vibration and modeling under realistic conditions, while excluding mistuning and flow disturbance using tip-timing measurement. The identified blade mistuning is quantified and used to update the numerical mistuned forced response model. Aerodynamic forcing function due to downstream diffuser vanes is also evaluated numerically.
JOURNAL OF SOUND AND VIBRATION
(2021)
Article
Energy & Fuels
Qiang Zhou, Xinwei Zhao, Lin Pei, Hongkun Li
Summary: This study investigated the pressure pulsation and modal properties of a scaled RCP impeller using experimental and numerical methods. It was found that pressure pulsation on the impeller blade is mainly dominated by the impeller rotating frequency, the vane passing frequency, and the double blade-passing frequency. The impeller's natural frequencies were reduced by 31.63% to 37.77% due to the added mass effect of the fluid, but there is no risk of resonance in the impeller.
ENERGY SCIENCE & ENGINEERING
(2021)
Article
Thermodynamics
Xinwei Zhao, Hongkun Li, Shuhua Yang, Zhenfang Fan, Yang Wang
Summary: This study enhances the understanding of the IGV preswirl effect and blade response through experimental data, finding that blade response increases with larger positive regulation and significant vibration can occur under specific operating conditions. This increase is attributed to changes in aerodynamic loading due to enhanced distortion of the inlet flow.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY
(2021)
Article
Engineering, Aerospace
Daitong Wei, Hongkun Li, Yugang Chen, Xinwei Zhao, Jiannan Dong, Zhenfang Fan
Summary: This study proposes a frequency domain-based model reduction method for the dynamic model reduction problem of mistuned blisks, which improves calculation efficiency while ensuring accuracy. The results show that the method outperforms other reduction methods in terms of modal characteristics and response characteristics.
AEROSPACE SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Mechanical
Hongkun Li, Xinwei Zhao, Qiang Zhou, Shuhua Yang, Xiaowen Zhang
Summary: Understanding the fluid-structure interaction phenomena in centrifugal compressors is crucial for impeller structural integrity design. In this study, a single-stage centrifugal compressor representative of industrial architecture was investigated experimentally to enhance the understanding of blade vibration in a realistic flow environment. The findings reveal that the impeller first bending mode exhibits traveling wave response characteristic only within a specific frequency band. Moreover, unexpected nonsynchronous vibrations were observed when operating near the flow instability boundary. These results contribute to a deep understanding of aeroelastic phenomena in industrial centrifugal compressors and have implications for aeroelastic design and numerical predictions near stall.
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME
(2022)
Article
Engineering, Mechanical
Zhenfang Fan, Hongkun Li, Jiannan Dong, Xinwei Zhao
Summary: Blade Tip Timing technology is effective for blade vibration measurement in turbomachinery, but faces challenges. This study investigates errors in blade vibration measurement caused by speed fluctuation, proposing an improved MPR method. Through numerical simulation and experiments, the feasibility and reliability of MPR method are verified and successfully applied to large compressors.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Acoustics
Hongkun Li, Jiannan Dong, Zhenfang Fan, Daitong Wei, Yugang Chen
Summary: In this paper, a novel multiscale cyclic-reverse optimized arrangement (MC-ROA) method based on the random arrangement of tip-timing probes is proposed to achieve frequency identification of undersampled signals in synchronous resonance. The method builds a sparse model for frequency recovery and utilizes the subspace pursuit (SP) algorithm of compressive sensing (CS) for frequency recovery. By adjusting the number of probes and selecting data probes cyclically under random arrangement, multiple sets of solutions are obtained. The target frequency weights are used to determine the optimal recovery frequency, overcoming the limitations of the restricted isometry property (RIP) of the parameterized compression matrix. BTT experiments are conducted to verify the effectiveness of the proposed method.
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Engineering, Mechanical
Jiannan Dong, Hongkun Li, Zhenfang Fan, Xinwei Zhao, Daitong Wei, Yugang Chen
Summary: This study explores the characteristics of BTT signals under blade synchronous resonance and proposes a subspace pursuit algorithm suitable for this feature. Experimental results demonstrate that the algorithm can recover the synchronous resonance frequency of blades with a higher probability, providing a new approach for the development of BTT technology.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Mechanical
Zhenfang Fan, Hongkun Li, Jiannan Dong, Daitong Wei, Hongwei Cao, Yugang Chen
Summary: Blade tip timing (BTT) is an effective technique for vibration monitoring of rotating blades. This paper proposed a mistuning identification method based on blade natural frequency deviation, which achieves quantitative evaluation and online model update of mistuned blisk. Additionally, an improved dynamic strain prediction method for non-contact measurement of blade strain was proposed. Improved mistuning identification and dynamic strain prediction methods with the application of BTT technology significantly promote the application of BTT technology in blade vibration monitoring.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Electrical & Electronic
Zhenfang Fan, Hongkun Li, Hongwei Cao, Jiannan Dong
Summary: The impeller is a crucial part of a large-scale centrifugal compressor and its performance directly impacts the stability and safety of the compressor. The blade tip timing (BTT), a non-contact measurement technology, is widely used for monitoring the blade vibration of rotating impellers. This study proposes a novel method called rotation speed-based surge identification (RSSID) to analyze surge frequency and evaluate the running status of the compressor. The study also detects cracked blades by monitoring the natural frequency of the blade. The research findings have significant importance for monitoring the running status and diagnosing rotating blade faults in large-scale centrifugal compressors.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
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)
