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Generating estimates of failure risk for a vehicular component in situations of high-dimensional and low sample size data
Generating estimates of failure risk for a vehicular component in situations of high-dimensional and low sample size data
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机译:在高维和低样本量数据的情况下,生成车辆部件故障风险的估计值
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摘要
Methods, systems, and computer program products for generating estimates of failure risk for a vehicular component in situations of high-dimensional and low sample size data are provided herein. A method includes splitting a first input time series comprising multiple data points derived from a vehicular component across a fleet of multiple vehicles into multiple sub-time series; generating a first failure status predicting function of a first selected sub-time series; deleting, from the first input time series, the portion of the data points that corresponds to the first selected sub-time series; repeating the preceding two steps for a second selected sub-time series; generating a second failure status predicting function of each selected sub-time series; applying each second failure status predicting function to a second input time series to calculate prediction of failure values; and identifying the largest prediction of failure value as an estimate of failure risk for the vehicular component.
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