System and method for processing test measurements collected from an internal combustion engine for diagnostic purposes

A classification system for cold testing an internal combustion engine to determine whether the engine is faulty or normal, comprising:

• means for monitoring an operational parameter of the engine while the engine is cranked at a predetermined speed for a predetermined number of revolutions, and for producing an electrical signal representing said operational parameter;
• and
• neural network means, coupled to said monitoring and producing means, for producing a classification signal indicating whether the engine is normal or faulty.

A classification system for testing an internal combustion engine to determine whether the engine is faulty or normal, comprising:

• means for monitoring an operational parameter of the engine while the engine is cranked at a predetermined speed for a predetermined number of revolutions, and for producing an electrical signal representing said operational parameter;
• cluster-based classifier means, coupled to said monitoring and producing means, the plotting a value of said electrical signal on a plot, wherein the origin of said plot represents a predetermined non-faulty engine, and for determining the distance of value from the origin, and for producing a distance signal representing the distance of said value from the origin, wherein the distance signal provides an indication whether the engine is normal or non-faulty.