- Patent Title: Prediction of machine failure based on vibration trend information
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Application No.: US16546385Application Date: 2019-08-21
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Publication No.: US11573153B2Publication Date: 2023-02-07
- Inventor: John S. Turner , Robert D. Skeirik
- Applicant: Computational Systems, Inc.
- Applicant Address: US TN Knoxville
- Assignee: Computational Systems, Inc.
- Current Assignee: Computational Systems, Inc.
- Current Assignee Address: US TN Knoxville
- Agency: Luedeka Neely Group PC
- Main IPC: G01M13/045
- IPC: G01M13/045 ; G01H1/00 ; G07C3/06 ; G05B23/02 ; G05D19/02

Abstract:
A method for detecting defects in a rotational element of a machine based on changes in measured vibration energy includes: (a) collecting vibration data over an extended period of time using vibration sensors attached to the machine; (b) processing the vibration data to generate a time waveform comprising processed vibration values sampled during sequential sampling time intervals within the extended period of time; (c) detecting multiple time blocks within the extended period of time during which the processed vibration values exhibit sustained increases at progressively increasing rates; and (d) generating alerts based on detection of the multiple time blocks during which the processed vibration values exhibit sustained increases at progressively increasing rates. The multiple time blocks may include a first time block during which the processed vibration values increase at a first rate, and a second time block occurring after the first time block during which the processed vibration values increase at a second rate that is greater than the first rate.
Public/Granted literature
- US20210055183A1 Prediction of Machine Failure Based on Vibration Trend Information Public/Granted day:2021-02-25
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