Statistical Approach to Fault Detection of Gears
Abstract
The cost associated with machinery maintenance is a major portion of operating expenses. Vibration analysis, used as a method of monitoring the condition of machinery, provides a means to identify machinery faults before significant levels of damage occur. The results of research using statistical parameters of the vibration signal produced by machinery is presented. The statistical parameters investigated included the mean, mean square, variance, and coefficients of skewness and kurtosis. These values are compared with results of spectrum analysis techniques similar to methods used by the United States Navy in machinery programs. The investigation focuses on the use of band limited statistical parameters used as a fault detection technique that permits machinery operation to be categorized as 'satisfactory' or 'unsatisfactory.' Keywords: Theses, Statistical analysis, Gears, Machinery vibration monitoring, Fault detection, Machinery condition monitoring.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1989
- Accession Number
- ADA225386
Entities
People
- J. D. Robinson
Organizations
- Naval Postgraduate School