A performance degradation condition recognition method based on improved pattern spectrum entropy and fuzzy c-means

2017 Prognostics and System Health Management Conference (PHM-Harbin) ◽

10.1109/phm.2017.8079186 ◽

2017 ◽

Author(s):

Bing Wang ◽

Xiong Hu

Keyword(s):

Performance Degradation ◽

Recognition Method ◽

Pattern Spectrum ◽

Fuzzy C Means ◽

Condition Recognition ◽

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Bearing performance degradation condition recognition based on a combination of improved pattern spectrum entropy and fuzzy C-means

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-169543 ◽

2018 ◽

Vol 34 (6) ◽

pp. 3681-3693

Author(s):

Bing Wang ◽

Wei Wang ◽

Meihui Hou ◽

Xiong Hu

Keyword(s):

Performance Degradation ◽

Pattern Spectrum ◽

Fuzzy C Means ◽

Condition Recognition

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Rolling bearing performance degradation condition recognition based on mathematical morphological fractal dimension and fuzzy C-means

Measurement ◽

10.1016/j.measurement.2017.05.033 ◽

2017 ◽

Vol 109 ◽

pp. 1-8 ◽

Author(s):

Bing Wang ◽

Xiong Hu ◽

Hongru Li

Keyword(s):

Fractal Dimension ◽

Rolling Bearing ◽

Performance Degradation ◽

Fuzzy C Means ◽

Condition Recognition

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A Performance Degradation Pattern Identification Algorithm based on SPC and Fuzzy Sets for Hydraulic and User Systems

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) ◽

10.1109/itnec48623.2020.9085108 ◽

2020 ◽

Author(s):

Wenyun Yao ◽

Yue'rang Zhao ◽

Cunbao Ma ◽

Guolei Xu ◽

Xu Dong

Keyword(s):

Performance Degradation ◽

Pattern Identification ◽

Identification Algorithm ◽

Degradation Pattern ◽

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A Performance Degradation Interval Prediction Method Based on Support Vector Machine and Fuzzy Information Granulation

Lecture Notes in Mechanical Engineering - Engineering Asset Management - Systems, Professional Practices and Certification ◽

10.1007/978-3-319-09507-3_32 ◽

2014 ◽

pp. 363-374

Author(s):

Fuqiang Sun ◽

Xiaoyang Li ◽

Tongmin Jiang

Keyword(s):

Support Vector Machine ◽

Prediction Method ◽

Performance Degradation ◽

Support Vector ◽

Fuzzy Information ◽

Information Granulation ◽

Interval Prediction ◽

Fuzzy Information Granulation ◽

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A performance degradation model of solar cells in an on-orbit resource satellite based on peak currents

Solar Energy ◽

10.1016/j.solener.2019.07.030 ◽

2019 ◽

Vol 189 ◽

pp. 26-34

Author(s):

Mengda Cao ◽

Tao Zhang ◽

Yajie Liu ◽

Wenyong Yu ◽

Mengjun Ming

Keyword(s):

Solar Cells ◽

Performance Degradation ◽

Degradation Model ◽

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Fuzzy C-means Using Manifold Learning and Its Application to Rolling Bearing Performance Degradation Assessment

Journal of Mechanical Engineering ◽

10.3901/jme.2016.15.059 ◽

2016 ◽

Vol 52 (15) ◽

pp. 59

Author(s):

Fengtao WANG

Keyword(s):

Manifold Learning ◽

Rolling Bearing ◽

Performance Degradation ◽

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A performance degradation assessment method using one-dimensional sparse representation self-learning dictionary

Measurement Science and Technology ◽

10.1088/1361-6501/ac0c46 ◽

2021 ◽

Author(s):

Gangjin Huang ◽

Hongkun Li ◽

Jiayu Ou ◽

Xiaofei Li ◽

Yuanliang Zhang

Keyword(s):

Sparse Representation ◽

Assessment Method ◽

Performance Degradation ◽

One Dimensional ◽

Self Learning ◽

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A Polarization Image Pattern Recognition Method Based on Fuzzy C-means Clustering and Edge Detection Algorithms

ACTA PHOTONICA SINICA ◽

10.3788/gzxb20134210.1244 ◽

2013 ◽

Vol 42 (10) ◽

pp. 1244-1247

Author(s):

虞文俊 YU Wen-jun ◽

顾国华 GU Guo-hua

Keyword(s):

Pattern Recognition ◽

Edge Detection ◽

Pattern Recognition Method ◽

Recognition Method ◽

Fuzzy C Means ◽

Detection Algorithms ◽

Polarization Image ◽

Fuzzy C Means Clustering ◽

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Hybrid road recognition method using fuzzy c-means and back-propagation neural network and image processing

10.1117/12.539027 ◽

2003 ◽

Author(s):

Chaofeng Li ◽

Maolong Yang ◽

Chengxian Shi ◽

Deshen Xia

Keyword(s):

Neural Network ◽

Image Processing ◽

Back Propagation ◽

Back Propagation Neural Network ◽

Recognition Method ◽

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Research on deep feature learning and condition recognition method for bearing vibration

Applied Acoustics ◽

10.1016/j.apacoust.2020.107435 ◽

2020 ◽

Vol 168 ◽

pp. 107435

Author(s):

Xiaoxun Zhu ◽

Xuezhi Luo ◽

Jianhong Zhao ◽

Dongnan Hou ◽

Zhonghe Han ◽

...

Keyword(s):

Feature Learning ◽

Recognition Method ◽

Deep Feature ◽

Bearing Vibration ◽

Deep Feature Learning ◽

Condition Recognition

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