Rolling bearing fault diagnostic system using fuzzy logic

IEEE International Conference on Fuzzy Systems

Volumn 2, Issue , 2001, Pages 816-819

  Da Silva Vicente, Silmara Alexandra ^a   Fujimoto, Rodrigo Yoshiaki ^a   Padovese, Linilson Rodrigues ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DIAGNOSIS SYSTEM; DIAGNOSIS PROCESS AUTOMATION; PREDICTIVE MAINTENANCE; ROLLING BEARING FAULT DIAGNOSIS SYSTEM;

AUTOMATION; DECISION THEORY; FORMAL LOGIC; OPTIMIZATION; PREDICTIVE CONTROL SYSTEMS; PREVENTIVE MAINTENANCE; ROLLER BEARINGS; SPECTRUM ANALYSIS; SPEED CONTROL; STATISTICAL METHODS; VIBRATION CONTROL;

FUZZY SETS;

EID: 0036343340     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Objective machinery fault diagnosis using fuzzy logic
2. A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings
3. Detection of roller bearing defects using system and fuzzy logic
4. Automatic fault detection in gearboxes by dynamic fuzzy data analysis
5. Comparison of neural networks performance for fault classification in rolling bearing
6. Outline of a new approach to the analysis of complex systems and decision processes
7. Methods of fault diagnosis
8. Fuzzy logic in control systems: Fuzzy logic controller, Part II