A layered any time approach to sensor validation

Ibarguengoyatia, P; Vadera, S; Sucar, E

Abstract

Sensors are the most usual source of information in many
automatic systems such as automatic control

These computerised systems utilise different models of the process being served which usually assume the value of the variables as a correct reading from the sensors. Unfortunately, sensors are prone to failures.
This article proposes a layered approach to the use of sensor information where the lowest layer validates sensors and provides the information to the higher layers that model the process. The proposed mechanism
utilises belief networks as the framework for failure detection and uses a property based on the Markov blanket to isolate the faulty sensors from
the apparently faulty sensors. Additionally, an any time version of the sensor validation algorithm is presented and the approach is tested on the validation of temperature sensors in a gas turbine of a power plant

Citation

Ibarguengoyatia, P., Vadera, S., & Sucar, E. (1997). A layered any time approach to sensor validation. In Lecture Notes in AI. Springer

• Publication Date: Jan 1, 1997
• Deposit Date: Feb 16, 2011
• Publicly Available Date: Aug 13, 2018
• Publisher: Springer
• Series Title: Lecture Notes in AI: Proc. Qualitative and Quantative Reasoning
• Book Title: Lecture Notes in AI
• Keywords: Sensor Validation, Bayesian networks