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Machine Diagnosis Techniquesby Simplified Calculation Method
Kazuhiro Takeyasu,Takashi Amemiya,Katsuhiro Iino,Shiro Masuda 대한산업공학회 2003 Industrial Engineeering & Management Systems Vol.2 No.1
Among many dimensional or dimensionless amplitude parameters, kurtosis and ID Factor are said to be sensitive good parameters for machine diagnosis. In this paper, a simplified calculation method for both parameters is introduced when impact vibration arise in the observed data. Compared with the past papers' results, this new method shows a good result which fit well. This calculation method is simple enough to be executed even on a pocketsize calculator and is very practical at the factory of maintenance field. This can be installed in microcomputer chips and utilized as a tool for early stage detection of the failure.
Machine Diagnosis Techniques by Simplified Calculation Method
Takeyasu, Kazuhiro,Amemiya, Takashi,Iino, Katsuhiro,Masuda, Shiro Korean Institute of Industrial Engineers 2003 Industrial Engineeering & Management Systems Vol.2 No.1
Among many dimensional or dimensionless amplitude parameters, kurtosis and ID Factor are said to be sensitive good parameters for machine diagnosis. In this paper, a simplified calculation method for both parameters is introduced when impact vibration arise in the observed data. Compared with the past papers' results, this new method shows a good result which fit well. This calculation method is simple enough to be executed even on a pocketsize calculator and is very practical at the factory of maintenance field. This can be installed in microcomputer chips and utilized as a tool for early stage detection of the failure.
On a Multiple Data Handling Method under Online Parameter Estimation
Takeyasu, Kazuhiro,Amemiya, Takashi,Iino, Katsuhiro,Masuda, Shiro Korean Institute of Industrial Engineers 2002 Industrial Engineeering & Management Systems Vol.1 No.1
In the field of plant maintenance, data that are gathered by sensors on multiple machines are handled and analyzed. Online or pseudo online data handling is required on such fields. When the data occurrence speed exceeds the data handling speed, multiple data should be handled at a time (batch data handling or pseudo online data handling). If l amount of data are received at one time following N amount of data, how to estimate the new parameters effectively is a great concern. A new simplified calculation method, which calculates the N data's weights, is introduced. Numerical examples show that this new method has a fairly god estimation accuracy and the calculation time is less than 1/10 compared with the case when the whole data are re-calculated. Even under the restriction calculation ability in the apparatus is limited, this proposed method makes the failure detection of equipments possible in early stages with a few new coming data. This method would be applicable in many data handling fields.