TOOL FAILURE DETECTION UTILIZING FREQUENCY DERIVED, PRE-CHARACTERIZATION TEMPLATES

Patent №

US 6,604,013

Granted

2003-08-05

Filed 2000

Owner

FORD MOTOR COMPANY, A DELAWARE CORPORATION

Lab

AI components

1

planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09686612

A system and method to create frequency derived, pre-characterization templates to be used by a machine operator for determining when a tool breaks in one spindle of a multi-spindle machine tool. The pre-characterization template is created by first impacting the tool or the holder and recording the time domain of the frequency pattern of vibrations. The natural frequencies of the tool/tool holder/spindle vibrations which include the vibration frequencies of the tool braking are recorded. Pre-characterization templates are created using FFT techniques to identify only those frequencies indicative of tool breakage. The machine tool operator then uses the monitoring system with pre-characterization templates during machine tool operation and is notified in real time of the breakage of a tool in a single spindle or a multi-spindle machine.

PlanningG05B 19/4065G05B 2219/34048G05B 2219/37242

AI classification

Planning0.59
Natural language0.00
AI hardware0.00
Evolutionary computation0.00
Machine learning0.00
Knowledge representation0.00
Speech0.00
Vision0.00

Ownership

FORD MOTOR COMPANY, A DELAWARE CORPORATION

assignment · 112550361

Assignors

SETH, BRIJ B., TATA, BHAVANI S., HAMIDIEH, YOUSSEF A.

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

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