FREQUENCY DOMAIN ENGINE DEFECT SIGNAL ANALYSIS

Patent №

US 4,424,709

Granted

1984-01-10

Filed 1982

Owner

FORD MOTOR COMPANY

Lab

AI components

1

planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

06409371

A signal analyzer for detecting engine defects includes sensors (11-17) for detecting engine operating parameters such as engine speed, engine exhaust manifold pressure, engine intake manifold vacuum, blowby gas pressure in the engine crankcase, and oil pressure. Electrical signals representing the frequency and magnitude of the engine operating parameters are used to produce a frequency domain spectrum signal characteristic of the engine being tested. The frequency domain spectrum signal being tested is compared to a frequency domain spectrum signal from a normal engine thereby determining at what frequencies differences between the two signals exist, such differences being indicative of engine defects.

PlanningG01M 15/09F02D 41/22G01M 15/106G01M 15/11F02D 2041/288Y02T 10/40

AI classification

Planning0.94
Machine learning0.01
Speech0.00
Natural language0.00
Knowledge representation0.00
Vision0.00
Evolutionary computation0.00
AI hardware0.00

Ownership

FORD MOTOR COMPANY

assignment · 40650870

Assignors

MEIER, RAYMOND C. JR., GABLE, STEWART V.

On an employer assignment, the assignors are typically the inventors.

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