Health Monitoring on Vibration Signatures
Abstract
This final report covers the entire contracting effort from August 1, 1997 to July 31, 2001 (with an extended year at no cost to the program). The progress made is primarily targeted to establish the fundamental bases from analytical and simulation studies. In addition, we have moved forward to validate the algorithms developed in several experimental testbeds. To consolidate the technical efforts dedicated to the theoretical developments appropriate for vibration monitoring in Air Force structures (e.g., aircraft, rotorcraft and RLVs), a comprehensive "modular" approach is taken. The tasks as outlined include Wavelet feature extraction, sensor validation, feature selection, fault detection, identification and classification, knowledge representation, multi-model on-line control autonomy, nonlinear system identification, adaptive critic fault tolerant control an multi objective optimization design. The approach is evolving as more mathematical analyses are accomplished and desired specifications are defined. The methodology proposed is generic and applicable to a wide variety of industrial applications - (e.g., chemical fluidized processes, semiconductor RIE facility), medical-assisted monitoring (e.g., EKG, intra-cranial pressure monitoring) and environmental assessment (e.g., frog/bird call monitoring). The vibration data set used for preliminary test is derived from U.S. Navy CH-46E Chinook helicopters available in public domain; commonly know as the Westland data set. The data set (4-second time series) is available in public domain and has been used for benchmark comparison by researchers within this community. The data set is clean and complete as opposed to the USAF Academy bearing data set, which is highly noisy and sparse.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 26, 2002
- Accession Number
- ADA400329
Entities
People
- Gary G Yen
Organizations
- Oklahoma State University–Stillwater