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Proceedings Paper

Hardware device for data fusion and novelty detection in condition monitoring
Author(s): Odin Taylor; John MacIntyre
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Paper Abstract

The hardware device is known as a Local Fusion System (LFS) and is part of a larger modular condition monitoring solution. The LFS unit will be discussed in detail in this paper, describing how the design has evolved into a real hardware based condition-monitoring device that will be taken to market by one of the project partners. The device is responsible for learning the normal operating state of a machine component and identifying when it changes, in a process called novelty detection. To learn the normal operating state of a machine, the device learns a representation of the sensors that are connected to the unit (which could be of varying types and number) by using a novel neural network based fusion center that will be discussed in detail in this paper. The paper will also look pre- and post-processing issues in a limited hardware environment along with some example development data that if from a real-world machine.

Paper Details

Date Published: 3 April 2000
PDF: 12 pages
Proc. SPIE 4051, Sensor Fusion: Architectures, Algorithms, and Applications IV, (3 April 2000); doi: 10.1117/12.381628
Show Author Affiliations
Odin Taylor, Univ. of Sunderland (Netherlands Antilles)
John MacIntyre, Univ. of Sunderland (United Kingdom)


Published in SPIE Proceedings Vol. 4051:
Sensor Fusion: Architectures, Algorithms, and Applications IV
Belur V. Dasarathy, Editor(s)

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