Wavelet Analysis of Acoustic Signals for Gearbox Vibration Monitoring and Diagnostics

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,951.00
Award Year:
1995
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Agency Tracking Number:
27852
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Alphatech, Inc.
Executive Place Iii 50 Mall, Road, Burlington, MA, 01803
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Dr. Jose E. Lopez
(617) 273-3388
Business Contact:
() -
Research Institution:
n/a
Abstract
ALPHATECH has recently developed an integrated software environment for developing and testing prototype fault detection and identification (FDI) systems. It has been applied with excellent results (zero false and missed alarms, with 4% probability of deferral to the next decision time) to helicopter gearbox test-stand accelerometer data. The front-end of our environment extracts novel feature sets offered by the continuous wavelet transform (CWT), on which we train and evaluate a classical artificial neural network classifier. We propose to apply this approach to two forms of acoustic data collected in Phase 1: field data collected using an external acoustic sensor focused on the gearbox areas of an actual SH-60 helicopter, and synthetic data from an acoustic sensor in a controlled acoustic space containing loudspeakers driven by gearbox test-stand accelerometer signals plus recordings of helicopter rotor downwash and engine noise. We will compare the FDI results for the synthetic data with that previously obtained using the accelerometer signals directly, and determine dominant CWT features associated with the actual unfailed gearboxes. We will also develop the plan for Phase II, in which we will obtain and analyze sufficient data to demonstrate the reliability and robustness of the approach.

* information listed above is at the time of submission.

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