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Remaining life prediction device, remaining life prediction system, and remaining life prediction program

机译:剩余的寿命预测装置,剩余的寿命预测系统和剩余的寿命预测程序

摘要

PROBLEM TO BE SOLVED: To appropriately estimate the remaining life. SOLUTION: A first artificial intelligence cultivated based on learning deterioration amount information in one of a first member and a second member at each time, a learning feature vector, and a learning remaining life which is a time from the time when the information is acquired to the operation limit. It has a first artificial intelligence that estimates the first remaining life by intelligence and a second artificial intelligence that takes longer than the first artificial intelligence and estimates the remaining life with higher accuracy than the first artificial intelligence. The artificial intelligence unit 142, the evaluation information acquisition unit 130 that acquires one of the evaluation feature vector and the evaluation deterioration amount information obtained from the evaluation operation mechanism, and one of the evaluation feature vector and the evaluation deterioration amount information are input, and the first artificial The remaining life is estimated by the intelligence unit, and when the deterioration discrimination index satisfies a predetermined condition, one of the evaluation feature vector and the evaluation deterioration amount information is input, and the remaining life is derived by the second artificial intelligence unit. Remaining life prediction device 109 including a unit. [Selection diagram] Fig. 2
机译:要解决的问题:适当估计剩余的生命。解决方案:每次基于第一构件和第二成员之一的学习劣化量信息培养的第一人工智能,学习特征向量,以及学习剩余的生命,这是从获取信息时的时间的时间操作限制。它具有第一人工智能,估计智力的第一个剩余寿命和第二人工智能,需要比第一个人工智能更长的时间,并估计比第一人工智能更高的准确性。获取从评估操作机制获得的评估特征向量和评估劣化量信息之一的评估信息获取单元130,以及评估特征向量和评估劣化量信息之一,并且输入第一人造剩余寿命由智能单元估计,当劣化辨别指数满足预定条件时,输入一个评估特征向量和评估劣化量信息之一,并且剩余的寿命由第二人工智能导出单元。包括单元的剩余寿命预测装置109。 [选择图]图2

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