Distributed industrial performance monitoring and analytics

US10649449B2 · kind B2 · utility

Assignee

• FISHER-ROSEMOUNT SYSTEMS, INC. · US

Inventors

• Noel Howard Bell · Austin, US
• Mark J. Nixon · Round Rock, US
• Alper Turhan Enver · Austin, US
• Joshua B. Kidd · Oldsmar, US
• Paul Richard Muston · Narborough, GB

Key dates

• Filing date: Sep 23, 2016
• Grant date: May 12, 2020
• Expiry date: May 30, 2038

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02P90/80
• WIPO field: Control
• WIPO sector: Instruments

Abstract

A technique is provided for providing early fault detection using process control data generated by control devices in a process plant. The technique determines a leading indicator of a condition within the process plant, such as a fault, abnormality, or decrease in performance. The leading indicator may be determined using principal component analysis. A process signal indicating a process variable corresponding to the leading indicator is then obtained and analyzed. A rolling fast Fourier transform (FFT) may be performed on the process signal to generate time-series data with which to monitor the process plant. When the presence of the leading indicator is detected in the time-series data, an alert or other prediction of the condition may be generated. Thus, process faults may be identified using fluctuations and abnormalities as leading predictors.