Main research directions:
1. Theory and method of acoustic fault diagnosis
2. Modern signal processing technology and its application in fault diagnosis.
3. Research and development of equipment intelligent diagnosis theory and system.
Published papers (implementation standard: 20 1 1 year, core journals above Class B):
[1] Xing Wu et al. Modeling Web-based remote monitoring and fault diagnosis system with UML and component technology, Journal of Intelligent Information Systems, 2006,27: 5-19. (SCI accession number: 082HT, EI).
[2] Xing Wu, et al. Web-based Remote Monitoring and Fault Diagnosis System, International Advanced Manufacturing Technology, 2006,28 (1-2):162-175. (Collected by SCI and EI)
Wu Xing, Chi Yilin, et al. Rough set reduction method based on entropy measure and genetic algorithm. Vibration and shock, 2009.28 (2): 82-85 (included in EI)
Extraction of mechanical weak impact sound signal based on blind deconvolution and clustering. Journal of Vibration Engineering, 2009,22 (6): 620-624 (included in EI)
[5] Yu Wang, Xing Wu, translated by Lin Chi. Transient signal extraction of rolling bearing based on acoustic blind deconvolution (included in EI)
Mechanical noise monitoring and fault diagnosis based on blind signal processing. Vibration and shock, 2009,28 (6): 32-41(included in EI)
Application of an improved blind deconvolution algorithm in acoustic diagnosis of bearings. Vibration and shock, 20 10/0,29 (6):11-14 (EI accession number).
[8], Chi Yilin,, et al. Using blind deconvolution method to extract acoustic pulse signals of faulty bearings. ICICTA 2009, IEEE Computer Society Press, Changsha, Hunan, China. 10- 1 1 20091October. Pages 590-594 (included in EI).
Pan Ning, Wu Xiao, Chi Yulin, et al. Mechanical fault diagnosis based on blind deconvolution in frequency domain. International Conference on Modeling, Identification and Control of Shanghai Jiaotong University, Shanghai, China, 201:58-63. (included in ei)
[10] Pan N, Wu X, Chi Y L, etc. Application of frequency domain blind deconvolution in mechanical fault detection [J]. Applied Mechanics and Materials, 2011(130-134): 2128-2138.
Pan N, Wu X, Chi Yulin, et al. Fault detection of rolling bearing combination based on undetermined blind deconvolution in acoustic diagnosis. The 7th VETOMAC-VII International Conference, 20 1 1.
[12] Pan Ning, Wu Xiao, Chi Yulin, et al. Acoustic diagnosis of combined faults based on improved blind deconvolution in frequency domain. 25th International Conference on Condition Monitoring and Diagnosis Engineering (Comadem 20 12), Huddersfield, UK, June 18-20, 20 12,364: 012078. (included in EI).
[13] Pan Nan, Wu Xing, Chi Yilin et al. Condition monitoring and fault diagnosis of mechanical equipment based on blind deconvolution in frequency domain, vibration and shock (included in EI).
[14] Pan Nan, Wu Xing, Chi Yilin, et al. Acoustic diagnosis, vibration, test and diagnosis of composite faults of rolling bearings based on underdetermined blind deconvolution (EI source journal to be published).
[15] Pan Nan, Wu Xing, Chi Yilin, et al. Acoustic diagnosis, vibration and shock of gearbox composite fault based on blind deconvolution in frequency domain (EI source journal to be published).
[16] Li Yuchuan, Wu Xing, Chi Yilin et al. Blind fault separation of rolling bearings based on morphological filtering and sparse component analysis. Vibration and shock, 201130 (12):170-174 (included in EI).
[17] Shen Yi, Wu Xing, Chi Yilin, et al. Blind deconvolution based on particle swarm optimization and its application in acoustic signals of faulty bearings. China mechanical engineering, 20 10/0,21(12):1457-148.
[18] Liu Chang, Wu Xing, Chi Yilin, et al. Research on Software Architecture of Equipment Online Monitoring System, Computer Engineering, 20 10/0,36 (23): 69-71,75.
[19], Zhou Chuan, Wu Xing et al. Hilbert-Huang transform method based on generalized mathematical morphological filtering and correlation coefficient. Mechanical science and technology, 20 12,11(30): 71-75.
Apply for a patent:
[1] A data storage method of online condition monitoring system, (invention patent, published), applicant: Wu Xing,,, Chi Yilin, Pan Nan.
[2] An acoustic diagnosis method for composite faults of rolling bearings (invention patent, published), by Pan Nan, Wu Xing, Chi Yilin,,,.
[3] A method for extracting speed fluctuation through impact analysis (invention patent, published), applicants: Liu Xiaoqin, Wu Xing, Liu Chang, Mao Jianlin, Chi Yilin, Pan Nan.
Scientific research projects:
1, National Natural Science Foundation of China "Research on Blind Extraction Method of Multi-source Components in Mechanical Ill-conditioned Noise Field", starting and ending time: 2009+0-205438+0438+0.5438+02.
2. National Natural Science Foundation "Research on Underdetermined Blind Extraction Model and Algorithm of Time-varying Noise Field of Underwater Moving Target", starting and ending time: 2013.05438+0-2016.12.
3. Yunnan Science and Technology Plan Project "Research on Underdetermined Blind Deconvolution Model of Underwater Acoustic Target and Its Key Algorithms", starting and ending time: 2012.10-2015.09.
4. Wanxiang Qian Chao (Shanghai) Automobile System Co., Ltd. entrusted the project "Research and Development of Brake Performance Testing System", starting and ending time: 20 12.09-20 13.08.
5. The project of "Engineering Research on Vibration and Noise Detection Technology" entrusted by Shanghai Huayang Testing Instrument Co., Ltd. started from 2007.5438+0 to 2009.438+0.
6. Shanghai Huayang Testing Instrument Co., Ltd. entrusted the project "Engineering Research on Mechanical Equipment Fault Diagnosis Technology", starting and ending time: 2009.01-201.
7. The project of "Research on Integrated Equipment Condition Monitoring System" entrusted by Shanghai Huayang Testing Instrument Co., Ltd. started and ended at 201-2013.01.
Award winning:
[1] Mechanical equipment condition monitoring system based on acoustics; Zhou Jun, Wu Xing, Pan Nan; The 7th American Ni Graduation Design Competition; National second prize; 20 10