Analysis, Approach and Assessment of Vibration Criteria in Shipboard Machinery Condition Monitoring and Diagnostics

Abstract

The setting of alarm levels plays a vital role in a machinery condition monitoring and diagnostic system. In this research, two approaches to setting vibration alarm levels using vibration signals produced by fire pumps are presented in the time and frequency domains. In the time domain, the cross peak analysis is proposed to extract the dominate peak points. The distribution of these cross peak points is found to have a lognormal distribution and can be normalized to a Normal distribution in the VdB domain. The computed g+2a value in the VdB domain is suggested for use as the alarm level. In the frequency domain, 1/1 octave band analysis is introduced. Three artificial fault simulations are conducted to compare the 1/1 octave band method with the broadband method. The results show that the 1/1 octave band method is more sensitive to the changes in VdB level than the broadband method. The computer programs to perform these two analyses are written using MATLAB. Alarm Level, Vibration, Fire Pump, Cross Peak Analysis, 1/1 Octave Band Analysis, Condition Monitoring and Diagnostics.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1993
Accession Number
ADA273608

Entities

People

  • C. S. Liu
  • J. J. Jeon
  • Y. S. Shin

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Bandwidth
  • Broadband
  • Computer Programs
  • Computers
  • Data Acquisition
  • Data Analysis
  • Fire Pumps
  • Frequency
  • Frequency Bands
  • Frequency Domain
  • Measurement
  • Normal Distribution
  • Probability Density Functions
  • Random Variables
  • Simulations
  • Statistical Analysis
  • Time Domain

Fields of Study

  • Engineering

Readers

  • Acoustics.
  • Computational Modeling and Simulation
  • Fault Tolerant Diagnosis of Black and White Balloon Isolation Tests Using ¥.