Data analysis process of working hydraulics of small mobile machine
Research output: Contribution to journal › Article › Scientific › peer-review
|Journal||International Journal of Fluid Power|
|Publication status||Published - 2012|
|Publication type||A1 Journal article-refereed|
Changing work sequences and the operational environment makes the condition monitoring of mobile work machines more challenging compared with industrial systems. This sets special demands in regard to the analysis of the data measured from the machine during operation. A forklift, reach stacker, is used here as a research platform to study the operation of the data analysis process of working hydraulics of small mobile machine. The focus in the data analysis process is on feature extraction and classification parts. Discrete wavelet analysis is used to extract features which are then classified using the Self-Organizing Map (SOM). In addition, the sensitivity of data analysis process is studied. A simulation model of the lifting movement of the forklift is made to study the effects of changes in the fault levels of the performance of the data analysis methods.