Every organization needs to effectively manage its data collection and analysis process in order to efficiently collaborate on a global scale. This paper describes a model for standardizing the data collection and analysis process and specifically deals with two challenges in this regard: 1) A method for standardization of the nomenclature of different physical parameters measured during a typical engine test. This is essential for processing data from facilities spread across the globe to run them through a standard set of calculations. The process of storing and performing a given set of complex processes on the data while allowing analysts to view the steps of the processing in a transparent intuitive manner is also described in the paper. 2) Building on the first point, the paper also describes a process for performing a standard set of data quality checks on data as it is being collected. This allows for detection of issues in the data on a real-time basis. The paper further describes how this process can be applied to analyzing data and reporting issues while running a transient test in which the engine is rapidly changing its state every second.
Data Standardization and Analysis Model for Enhanced Global Productivity
Sae Technical Papers
Symposium on International Automotive Technology 2015 ; 2015
2015-01-14
Aufsatz (Konferenz)
Englisch
Data Standardization and Analysis Model for Enhanced Global Productivity
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