Emerson Electric‘s patent involves a real-time control system with a faulty variable identification technique for data-driven fault detection in process plants. The system enables operators to detect abnormal conditions, take timely action, and prevent system stalls or component failures. The innovative approach enhances situational awareness for improved plant operation. GlobalData’s report on Emerson Electric gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Emerson Electric, Smart climate control systems was a key innovation area identified from patents. Emerson Electric's grant share as of April 2024 was 64%. Grant share is based on the ratio of number of grants to total number of patents.

Fault detection system for process plant component abnormal behavior

Source: United States Patent and Trademark Office (USPTO). Credit: Emerson Electric Co

A recently granted patent (Publication Number: US11966217B2) discloses a system designed to identify faulty variables in on-line data related to the operation of a process within a process plant. The system includes a process controller responsible for managing the process and a fault detection system that utilizes a multivariate state estimation technique (MSET) to detect abnormal operating conditions. By creating new matrices for unique pairs of process variables, training miniature system matrices, defining fault indices, and analyzing estimation errors, the system can pinpoint faulty variables accurately. The system also features a user interface for generating alert signals to notify users of identified faulty variables, enhancing operational efficiency and maintenance processes.

Furthermore, the patent details a method for locating faulty variables in on-line data by dividing the current system matrix, training multiple system matrices, and iteratively analyzing data to identify abnormal operating conditions. By comparing estimated data sets and determining system matrix sizes based on predefined thresholds, the method ensures efficient identification of faulty variables within the process plant operation. This innovative approach allows for real-time monitoring and detection of issues, enabling prompt corrective actions to be taken, thereby improving overall process reliability and performance.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.