Method and System for Data Driven Machine Diagnostics

Abstract

The embodiment of the invention relates to a method and a system for data driven machine diagnostics. A system for data driven diagnostics of a machine including a machine learning model instantiatedin a computer, the machine learning model being configured to: receive operational data of the machine; and process the operational data to determine machine diagnostics information. The machine learning model is trained using simulated defect information received from a simulation environment.

Description

technical field [0001] The present invention relates to methods and systems for data-driven machine (eg, gear reducer) diagnostics. Background technique [0002] A gear reducer (ie, gearbox) is a mechanical device that reduces rotational speed and increases torque generated by an input power source. Gear reducers are often used to reduce input speed to match the desired speed of downstream equipment and / or provide higher torque to obtain more usable work from the input power source. In its simplest form, a gear reducer achieves its intended effect by having an input gear drive an output gear that has more teeth than the input gear, causing the output gear to rotate more slowly. The gear with fewer teeth (ie, the smaller of the two gears) is called a pinion. [0003] There are various types of gear reducers, including single speed, industrial gear reducers, eccentric reducers, in-line reducers, worm gear reducers, and planetary gear reducers, to name a few. Common applicat...

AI Technical Summary

Problems solved by technology

While regular preventive maintenance and inspections can be performed to reduce the chance of unscheduled gear reducer downtime, this results in undesired labor costs, the need to maintain spare parts, and the need for frequent scheduled downtime

Images