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SYSTEM AND METHOD FOR UNSUPERVISED ROOT CAUSE ANALYSIS OF MACHINE FAILURES
SYSTEM AND METHOD FOR UNSUPERVISED ROOT CAUSE ANALYSIS OF MACHINE FAILURES
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机译:机器故障意外原因分析的系统和方法
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摘要
A system and method for unsupervised root cause analysis of machine failures. The method includes analyzing, via at least unsupervised machine learning, a plurality of sensory inputs that are proximate to a machine failure, wherein the output of the unsupervised machine learning includes at least one anomaly; identifying, based on the output at least one anomaly, at least one pattern; generating, based on the at least one pattern and the proximate sensory inputs, an attribution dataset, the attribution dataset including a plurality of the proximate sensory inputs leading to the machine failure; and generating, based on the attribution dataset, at least one analytic, wherein the at least one analytic includes at least one root cause anomaly representing a root cause of the machine failure.
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