Hardware device for data fusion and novelty detection in condition monitoring

Odin Taylor; John MacIntyre

doi:10.1117/12.381628

3 April 2000 Hardware device for data fusion and novelty detection in condition monitoring

Odin Taylor, John MacIntyre

Proceedings Volume 4051, Sensor Fusion: Architectures, Algorithms, and Applications IV; (2000) https://doi.org/10.1117/12.381628
Event: AeroSense 2000, 2000, Orlando, FL, United States

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.

Citation Download Citation

Odin Taylor and John MacIntyre "Hardware device for data fusion and novelty detection in condition monitoring", Proc. SPIE 4051, Sensor Fusion: Architectures, Algorithms, and Applications IV, (3 April 2000); https://doi.org/10.1117/12.381628

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