Fuzzy logic method for adaptively evaluating the validity of sensor data

US6898585B2 · kind B2 · utility

Assignee

• The Board of Trustees of the University of Illinois · US

Inventors

• Eric Benson · Baltimore, US
• Qin Zhang · Beijing, CN
• John Franklin Reid · Champaign, US

Key dates

• Filing date: Feb 2, 2001
• Grant date: May 24, 2005
• Expiry date: Dec 24, 2022

Classification

• Technology area (CPC G): Physics
• CPC primary: G05B9/02
• WIPO field: Control
• WIPO sector: Instruments

Abstract

Machine operators rely on intuition and experience to evaluate vehicle performance. As we increasingly turn to automation, it is important to automatically evaluate sensor data and system performance. Fuzzy logic allows us to take advantage of domain knowledge to evaluate data and to describe a system linguistically. In this application a fuzzy quality module evaluates output from a noisy sensor. It compares the sensor data with an estimated sensor value, and based on that comparison, dynamically adapts a fuzzy logic rulebase used to determine whether the sensor value is valid or not.