Machine fault prediction based on analysis of periodic information in a signal
US10416126B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 7, 2017 |
| Grant date | Sep 17, 2019 |
| Priority date | — |
| Expiry date | Jan 12, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01N29/48
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A “periodic signal parameter” (PSP) indicates periodic patterns in an autocorrelated vibration waveform and potential faults in a monitored machine. The PSP is calculated based on statistical measures derived from an autocorrelation waveform and characteristics of an associated vibration waveform. The PSP provides an indication of periodicity and a generalization of potential fault, whereas characteristics of the associated waveform indicate severity. A “periodic information plot” (PIP) is derived from a vibration signal processed using two analysis techniques to produce two X-Y graphs of the signal data that share a common X-axis. The PIP is created by correlating the Y-values on the two graphs based on the corresponding X-value. The amplitudes of Y-values in the PIP is derived from the two source graphs by multiplication, taking a ratio, averaging, or keeping the maximum value.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.