Automation of Machine Health Monitor

Hua Wei Wang; Bo Yan; Jun Ma

doi:10.4028/www.scientific.net/AMM.411-414.1434

Paper Titles

The Design of Weldment Model Based on Improved Delaunay Triangulation Algorithm
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Asymptotic Behavior of Solution for Higher-Order Wave Equation
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Optimization Design of a Small Aperture Cassegrain Antenna for 8mm Band Detector
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Calibration Control Platform Based STM32-Embedded System for Millimeter Wave Detector
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Automation of Machine Health Monitor
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Development of Detection System for Cotton Plastic Covering Using Ultrasonic
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Analysis and Solution on the Correlation between Dissolved Oxygen Sensor and pH Sensor for Water Quality Monitoring
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Design and Analysis of Hybrid Integrated High-Speed Mushroom Vertical PIN Photodetector
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414Automation of Machine Health Monitor

Automation of Machine Health Monitor

Abstract:

In the practice ,the transient state decided by the system character is the key of the automation of machine health monitor process. FFT and Wavelet Transform are the well known techniques in this field. We proposed an solution combined Wavelet Transform with FFT and build a real system to monitor the onshore structures. Unlike other similar systems, our system is automatic through self-calibration and health fault detection, stream data mining of the sensor data acquired from the Motors, Generators .

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

1434-1438

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.1434

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Online since:

September 2013

Authors:

Hua Wei Wang, Bo Yan, Jun Ma

Keywords:

Fault Detection, Machine Health Monitor, Stream Data Mining, Wavelet Analyze

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