Enhanced K-Nearest Neighbor for Intelligent Fault Diagnosis of Rotating Machinery
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Enhanced K-Nearest Neighbor for Intelligent Fault Diagnosis of Rotating Machinery
Authors
Keywords
-
Journal
Applied Sciences-Basel
Volume 11, Issue 3, Pages 919
Publisher
MDPI AG
Online
2021-01-21
DOI
10.3390/app11030919
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Learning transferable features in deep convolutional neural networks for diagnosing unseen machine conditions
- (2019) Te Han et al. ISA TRANSACTIONS
- A novel transfer learning method for robust fault diagnosis of rotating machines under variable working conditions
- (2019) Weiwei Qian et al. MEASUREMENT
- An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
- (2019) Bin Yang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- An innovative dynamic model for vibration analysis of a flexible roller bearing
- (2019) Jing Liu et al. MECHANISM AND MACHINE THEORY
- Fault diagnosis in wireless sensor network using clonal selection principle and probabilistic neural network approach
- (2019) Santoshinee Mohapatra et al. INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
- Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing
- (2019) Shao Haidong et al. KNOWLEDGE-BASED SYSTEMS
- Deep transfer network for rotating machine fault analysis
- (2019) Weiwei Qian et al. PATTERN RECOGNITION
- Bearing faults diagnosis using fuzzy expert system relying on an Improved Range Overlaps and Similarity method
- (2018) Toufik Berredjem et al. EXPERT SYSTEMS WITH APPLICATIONS
- A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
- (2018) Long Wen et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- An Intelligent Fault Diagnosis Architecture for Electrical Fused Magnesia Furnace Using Sound Spectrum Submanifold Analysis
- (2018) Wenyou Du et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Stochastic resonance in a time-delayed feedback tristable system and its application in fault diagnosis
- (2018) Peiming Shi et al. JOURNAL OF SOUND AND VIBRATION
- An integrated multi-sensor fusion-based deep feature learning approach for rotating machinery diagnosis
- (2018) Jie Liu et al. MEASUREMENT SCIENCE and TECHNOLOGY
- An intelligent fault diagnosis framework for raw vibration signals: adaptive overlapping convolutional neural network
- (2018) Weiwei Qian et al. MEASUREMENT SCIENCE and TECHNOLOGY
- A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines
- (2018) Feng Jia et al. NEUROCOMPUTING
- A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network
- (2018) Sheng Guo et al. SENSORS
- Time-Frequency Squeezing and Generalized Demodulation Combined for Variable Speed Bearing Fault Diagnosis
- (2018) Weiguo Huang et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- A novel supervised sparse feature extraction method and its application on rotating machine fault diagnosis
- (2018) Weiwei Qian et al. NEUROCOMPUTING
- Deep learning and its applications to machine health monitoring
- (2018) Rui Zhao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine
- (2017) Ruonan Liu et al. IEEE Transactions on Industrial Informatics
- Approximated and User Steerable tSNE for Progressive Visual Analytics
- (2017) Nicola Pezzotti et al. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
- Study on nature of crossover phenomena with application to gearbox fault diagnosis
- (2017) Xingxing Jiang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Condition multi-classification and evaluation of system degradation process using an improved support vector machine
- (2017) Qiang Miao et al. MICROELECTRONICS RELIABILITY
- Conflict evidence management in fault diagnosis
- (2017) Kaijuan Yuan et al. International Journal of Machine Learning and Cybernetics
- An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data
- (2016) Yaguo Lei et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- A dual path optimization ridge estimation method for condition monitoring of planetary gearbox under varying-speed operation
- (2016) Xingxing Jiang et al. MEASUREMENT
- Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier
- (2013) Changqing Shen et al. MEASUREMENT
- Generalizations of the limited-memory BFGS method based on the quasi-product form of update
- (2012) J. Vlček et al. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
- Gear crack level identification based on weighted K nearest neighbor classification algorithm
- (2009) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search