Miniaturized sensors for intelligent system fault detection and diagnosis (FDD)

Imin Kao; Kunbo Zhang

doi:10.1117/12.717915

6 April 2007 Miniaturized sensors for intelligent system fault detection and diagnosis (FDD)

Imin Kao, Kunbo Zhang

Proceedings Volume 6529, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007; 65290U (2007) https://doi.org/10.1117/12.717915
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2007, San Diego, California, United States

Abstract

Intelligent fault detection and diagnosis (FDD) depends on smart sensors which not only can render sensory information but also can make easy the subsequent detection and diagnosis. At the heart of every intelligent FDD system, there are sensors which work collaboratively with one another as well as the intelligent system. Miniaturized sensors present unique advantages in facilitating the installation of sensory devices for the purpose of diagnosis. In this paper, we present ongoing research on intelligent FDD and characterization using miniaturized sensor. With miniaturization, sensors can be readily made and integrated into intelligent diagnosis. Characterization and modeling of such innovative sensor designs are presented. Using new smart multi-function, telemetric, and integrated sensors as "intelligent nodes" in systems will provide necessary sensory information (for example, an integrated sensor which measures pressure, flow, and temperature--all in one module). The characterization and studies of miniaturized sensor are presented, with practical relevance to applications. The concept of intelligent nodes is further augmented with wireless sensors and system integration.

Citation Download Citation

Imin Kao and Kunbo Zhang "Miniaturized sensors for intelligent system fault detection and diagnosis (FDD)", Proc. SPIE 6529, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007, 65290U (6 April 2007); https://doi.org/10.1117/12.717915

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