Patent №
US 11,022,633
Granted
2021-06-01
Filed 2017
Owner
MCMASTER UNIVERSITY
Lab
—
AI components
3
ml · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
15499973
Systems and methods relating to fault detection and diagnosis. Signals received from sensors are first filtered to remove noise and are then analyzed using wavelet packet transform (WPT) based PCA. The results of the PCA analysis are then automatically classified to thereby quickly and easily determine what issues there may be in a finished product or in a machine being monitored.
Machine learningPlanningAI hardwareG01M 13/045G01M 13/04G01M 99/005G01M 99/008G01R 19/0053G06F 18/2135G06F 2218/04G06F 2218/08
AI classification
Planning1.00
Machine learning0.88
AI hardware0.50
Evolutionary computation0.04
Knowledge representation0.01
Vision0.00
Natural language0.00
Speech0.00
Ownership
MCMASTER UNIVERSITY
assignment · 431000858
Assignors
ISMAIL, MAHMOUD, HABIBI, SAEID, ZIADA, SAMIR
On an employer assignment, the assignors are typically the inventors.
From the same owner
NEURAL NETWORK STATE-OF-CHARGE ESTIMATIONUS 12,372,583 · 2025NEURAL-NETWORK STATE-OF-CHARGE AND STATE OF HEALTH ESTIMATIONUS 12,372,585 · 2025METHODS AND SYSTEMS FOR AUTONOMOUS PATH PLANNING TRIGGERED BY FREEWAY RUBBERNECKINGUS 12,258,023 · 2025DIAGNOSTIC, MONITORING, AND PREDICTIVE TOOL FOR SUBJECTS WITH COMPLEX VALVULAR, VASCULAR AND VENTRICULAR DISEASESUS 11,844,645 · 2023A NATURAL PRODUCT AND GENETIC DATA ANALYSIS AND DISCOVERY SYSTEM, METHOD AND COMPUTATIONAL PLATFORM THEREFORUS 11,842,798 · 2023SYSTEMS AND METHODS FOR COGNITIVE HEALTH ASSESSMENTUS 11,278,230 · 2022METHOD FOR ENABLING TRUST IN COLLABORATIVE RESEARCHUS 11,244,076 · 2022NEURAL-NETWORK STATE-OF-CHARGE ESTIMATIONUS 11,171,498 · 2021