共 50 条
- [1] Feature extraction based on vibration signal decomposition for fault diagnosis of rolling bearings [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 130 (1-2): : 755 - 779
- [2] Feature extraction based on vibration signal decomposition for fault diagnosis of rolling bearings [J]. The International Journal of Advanced Manufacturing Technology, 2024, 130 : 821 - 836
- [4] The Research of Machinery Fault Feature Extraction Methods Based On Vibration Signal [J]. IFAC PAPERSONLINE, 2018, 51 (17): : 346 - 352
- [6] Feature Signal Extraction Based on Ensemble Empirical Mode Decomposition for Multi-fault Bearings [J]. ENGINEERING ASSET MANAGEMENT - SYSTEMS, PROFESSIONAL PRACTICES AND CERTIFICATION, 2015, : 1337 - 1347
- [7] Multidimensional Feature Extraction Based on Vibration Signals of Rolling Bearings [J]. 2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2013, : 1093 - 1096
- [8] Fault Feature Extraction for Roller Bearings based on DTCWPT and SVD [J]. 2016 13TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI), 2016, : 836 - 841
- [9] A Fast Signal Estimation Method Based on Probability Density Functions for Fault Feature Extraction of Rolling Bearings [J]. APPLIED SCIENCES-BASEL, 2019, 9 (18):
- [10] Statistical Feature Extraction in Machine Fault Detection using Vibration Signal [J]. 11TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE: DATA, NETWORK, AND AI IN THE AGE OF UNTACT (ICTC 2020), 2020, : 666 - 669