Invention Grant
- Patent Title: System and method for predicting strain power spectral densities of light machine structure
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Application No.: US15850217Application Date: 2017-12-21
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Publication No.: US10890499B2Publication Date: 2021-01-12
- Inventor: Benjamin John Hodel , David Andres Villero
- Applicant: Caterpillar Inc.
- Applicant Address: US IL Peoria
- Assignee: Caterpillar Inc.
- Current Assignee: Caterpillar Inc.
- Current Assignee Address: US IL Peoria
- Agency: Harrity & Harrity LLP
- Main IPC: G01L5/00
- IPC: G01L5/00 ; G01P15/08 ; G01M7/02

Abstract:
A machine includes a frame, an engine supported on the frame, ground-engaging elements supported on the frame and driven by the engine to propel the machine, a machine light structure supported on the frame, a multiple-axis accelerometer positioned to generate an acceleration signal relative to a base of the machine light structure, and a controller. The controller is programmed to receive the acceleration signal, partition the acceleration signal into overlapped window periods, transform the acceleration signal of each overlapped window period into a power spectral density, and pass the power spectral densities of each overlapped window period through a strain power spectral densities prediction model to generate predicted strain power spectral densities of the machine light structure. A health monitor receives the predicted strain power spectral densities and is configured to generate a notification responsive to the predicted strain power spectral densities.
Public/Granted literature
- US20190195712A1 SYSTEM AND METHOD FOR PREDICTING STRAIN POWER SPECTRAL DENSITIES OF LIGHT MACHINE STRUCTURE Public/Granted day:2019-06-27
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