公开(公告)号：US20150279129A1

公开(公告)日：2015-10-01

申请号：US14625466

申请日：2015-02-18

Applicant: HITACHI HIGH-TECHNOLOGIES CORPORATION

Inventor： Masayoshi ISHIKAWA ,  Hideaki SUZUKI ,  Tomoaki HIRUTA ,  Toshio MASUDA ,  Ken KIKEGAWA

IPC: G07C5/08 ,  B60K35/00 ,  G06Q10/00

CPC classification number: G07C5/0808 ,  B60K35/00 ,  G05B23/0281 ,  G06Q10/20

Abstract: Selection of sensors requires the knowledge of individual sensors mounted on a target machine and the knowledge of mechanical features of the machine. In the past, experts having mechanical knowledge selected the sensors. The present invention involves analyzing sensor data at e of machine failure, extracting features from the sensor data regarding each failure cause, and comparing the extracted features so as to clarify the difference between the sensor data about the failure causes and present an operator with the clarified difference thereby to support sensor selection. The invention makes it possible to select more simply than before the sensors considered effective for classifying failure causes. For example, the sensors deemed effective for classifying failure causes without mechanical knowledge can be selected.

Abstract translation: 传感器的选择需要知道安装在目标机器上的各个传感器以及机器机械特性的知识。 过去，拥有机械知识的专家选择了传感器。 本发明涉及在机器故障的e处分析传感器数据，从传感器数据中提取关于每个故障原因的特征，并比较所提取的特征，以便澄清关于故障原因的传感器数据之间的差异，并向操作者呈现澄清 差异从而支持传感器选择。 本发明使得可以比在认为对分类故障原因有效的传感器之前更简单地进行选择。 例如，可以选择对于没有机械知识来分类故障原因的有效传感器。