Signal Processing Method (HT and HHT) of AE for Complex Fault Detection

Jeong Min Ha; Jong Myeong Lee; Jeong Hoon Lee; Dong Sik Gu; Byeong Keun Choi

doi:10.4028/www.scientific.net/MSF.762.656

Paper Titles

Optimization of Tilt-Casting of Aluminum Alloy Automobile Drain Pipes through Numerical Simulation
p.633

The Preparation and Curing Kinetics of Epoxy/PhS(4, 4'-dihydroxydiphe-nylsulfone)/aluminum tris (tetradecylacetoacetate) Latent Resin System
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Scale Monitoring System Tested at Ruukki Metals Plate Mill in Raahe
p.644

The Possibility to Use Optical Emission Spectrometry for Identifying the Amount of Inclusions in Steels
p.649

Signal Processing Method (HT and HHT) of AE for Complex Fault Detection
p.656

Vibration Analysis of Ship Propulsion Shaft with the Stern Bearing Characteristics
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Eigenvalue Analysis of Roots Type Vacuum Pump Using FE-Method
p.668

Evaluation of the Fatigue Life in Aluminum Alloy Welded Joint by Nonlinear Ultrasonic Testing
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Fatigue Life Prediction of Stainless Steel Laser Lap Joints Based on Natural Frequency Changes
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HomeMaterials Science ForumMaterials Science Forum Vol. 762Signal Processing Method (HT and HHT) of AE for...

Signal Processing Method (HT and HHT) of AE for Complex Fault Detection

Abstract:

In the signal processing method, envelope analysis is a useful method to evaluate the rolling element bearing problems and Wavelet transform is a powerful method to detect faults occurred on gearboxes. However, exact method for AE signal is not developed yet. Therefore, in this paper, two methods, which are Hilbert Transform (HT) and Hilbert-Huang transforms (HHT), will be compared for development a signal processing method for early fault detection system by using AE. HHT has better advantages than HT because HHT can show the time-frequency domain result. But, HHT needs long time to process a signal, which has a lot of data, and has a disadvantage in de-noising filter.