Special Session 10

Health Monitoring Standardization and Implementation for Sensor Networks and Internet of Things (loT)

 

Objectives

This session aims promoting the research work for: 

  • System safety and reliability enhancement for critical, industrial, and everyday systems
  • That satisfy the need of standardized practices to infuse on-line and real-time sensor self-diagnostics
  • Safe operation in Internet of Things (IoT) type applications.

Invited Speakers

Dr. Francisco J. Maldonado and Mr. Stephen Oonk, American GNC Corporation
Dr. Rastko Selmic, Dr. Mike O'Neal, Mark Harms, Ademola Salawu, Dr. Drew Gardner, Department of Electrical Engineering Louisiana Tech University

Invited Speech

Health Electronic Datasheets (HEDS) for Enhanced Transducers Monitoring, Reliability, and Safe Operation

Organizers and Contact Information

Rastko Selmic, Concordia University (Rastko.Selmic@concordia.ca)
Francisco Javier Maldonad, American GNC Corporation (fmald@americangnc.com)

 

Invited Presentation

 

Health Electronic Datasheets (HEDS) for Enhanced Transducers Monitoring, Reliability, and Safe Operation

 

Abstract

Due to the continuous growth and ubiquity of sensor networks and technologies related to Internet of Things (IoT) as well as the ever valid need to enhance the safe operation in critical systems (such as avionics, aerospace, test technologies, and autonomous systems, just to mention a few) there is a need of standardized health monitoring practices as well as real-time and on-line sensor network diagnostics algorithms. This need has been recognized by important technological entities (such as the National Institute of Standards and Technology, NIST) where standardization efforts are conducted but there is still much to be done. In this paper is presented the Health Electronic Datasheet (HEDS) design, which aims to provide a standardized sensor self-diagnostic framework within Smart Sensors. This paper also describes: (1) baseline sensor failure detection by data centric and system centric algorithms; (2) parameter identification that allow algorithm instantiation, execution, and integration within the HEDS; (3) the REDS definition within the IEEE 1451.0 standard (Dot0); and (4) a current application to support safe operation in NASA test facilities. 

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