20240013594. FAULT ISOLATION USING ON-BOARD DIAGNOSTIC (OBD) CAPABILITY DATA simplified abstract (Cummins Inc.)

FAULT ISOLATION USING ON-BOARD DIAGNOSTIC (OBD) CAPABILITY DATA

Organization Name

Cummins Inc.

Inventor(s)

Jeffrey Diwakar Abraham of Columbus IN (US)

Marcela Schmalz De Bernardi of Columbus IN (US)

Avra Brahma of Fishers IN (US)

Timothy J. Greis of Columbus IN (US)

Michael Haas of Columbus IN (US)

Gregory H. Henderson of Columbus IN (US)

Adam W. Kidd of Indianapolis IN (US)

Lyle E. Kocher of Whiteland IN (US)

Krithika Mohan of Columbus IN (US)

Daniel J. Smith of Columbus IN (US)

Christophe Tricaud of Columbus IN (US)

Ananth Vemuri of Columbus IN (US)

Easwar Yarrabikki of Columbus IN (US)

FAULT ISOLATION USING ON-BOARD DIAGNOSTIC (OBD) CAPABILITY DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240013594 titled 'FAULT ISOLATION USING ON-BOARD DIAGNOSTIC (OBD) CAPABILITY DATA

Simplified Explanation

The abstract describes a system that stores relationship data between diagnostic estimators and failure modes in a vehicle system. The system also stores a healthy diagnostic vector for nominal operational parameters and acquires diagnostic information for current operational parameters to generate an error diagnostic vector. This error diagnostic vector is then applied to the healthy diagnostic vector to generate a ratio diagnostic vector, which is used to generate a value for each failure mode.

• The system stores relationship data between diagnostic estimators and failure modes in a vehicle system.
• Each diagnostic estimator is associated with a subset of failure modes, defining a control space within the vehicle system.
• The system stores a healthy diagnostic vector for nominal operational parameters.
• Diagnostic information is acquired for current operational parameters to generate an error diagnostic vector.
• The error diagnostic vector is applied to the healthy diagnostic vector to generate a ratio diagnostic vector.
• The ratio diagnostic vector is used to generate a value for each failure mode.

Potential Applications:

• Automotive industry: This technology can be applied in vehicle systems to diagnose and detect failures in sensors or vehicle components.
• Industrial machinery: The system can be used to monitor and diagnose failures in various components of industrial machinery.

Problems Solved:

• Efficient failure detection: The system allows for the detection and diagnosis of failures in sensors or vehicle components, improving the overall reliability and safety of the vehicle system.
• Control space definition: The subsets of failure modes associated with each diagnostic estimator help define specific control spaces within the vehicle system, enabling targeted diagnostics.

Benefits:

• Improved reliability: By detecting and diagnosing failures, the system helps prevent potential malfunctions or accidents in the vehicle system.
• Cost savings: Early detection and diagnosis of failures can help prevent costly repairs or replacements of sensors or vehicle components.
• Enhanced maintenance: The system provides valuable diagnostic information for maintenance purposes, allowing for proactive maintenance and reducing downtime.

Original Abstract Submitted

a system is configured to store a relationship data set of a plurality of diagnostic estimators and a plurality of failure modes, each failure mode represents a type of failure that can occur with a sensor or a vehicle component of a vehicle system, each diagnostic estimator is associated with a respective subset of the failure modes, each subset defines a control space within the vehicle system that contains at least one of (i) one or more sensors or (ii) one or more vehicle components. the system is configured to store a healthy diagnostic vector regarding nominal operational parameters of the vehicle system; acquire diagnostic information regarding current operational parameters of the vehicle system to generate an error diagnostic vector; apply the error diagnostic vector to the healthy diagnostic vector to generate a ratio diagnostic vector; and apply the ratio diagnostic vector to generate a value for each failure mode.