http://rdf.ncbi.nlm.nih.gov/pubchem/patent/DE-102017124135-A1

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filingDate 2017-10-17-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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publicationDate 2018-04-26-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber DE-102017124135-A1
titleOfInvention Machine error prediction based on analysis of periodic information in a signal
abstract A "signal periodicity parameter" (PSP) indicates periodic patterns in an autocorrelated oscillation waveform and possible errors in a monitored machine. The PSP is calculated based on statistical measures derived from an autocorrelation waveform and associated vibrational waveform characteristics. The PSP provides an indication of the periodicity and a generalization of the possible error, while the properties of the associated waveform indicate the severity. A "Periodic Information Chart" (PIP) is derived from an oscillatory signal that is processed using two analysis techniques to generate two XY graphs of the signal data sharing a common X-axis. The PIP is generated by correlating the Y values on the two graphs based on the corresponding X value. The amplitudes of the Y values in the PIP are derived from the two source graphs by multiplication, ratioing, averaging, or maintaining the maximum value.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/DE-102021126372-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/DE-102021214964-A1
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http://rdf.ncbi.nlm.nih.gov/pubchem/patent/DE-102019127085-B4
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/DE-102019127524-A1
priorityDate 2016-10-21-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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