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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.

Typical software that is used for engine test result analysis include spreadsheet (MS Excel) and statistical software (Minitab, MS Excel), data modelling applications (MS Excel, Matlab), and post processing tools for plots, tables etc. Open source software has come a long way since its inception, and is now at a stage where it can provide a suitable alternative to many commercial software packages for data analysis. The paper will describe the areas of concern and the inherent benefits to using open source software. It evaluates the feasibility of incorporating these open source tools into data analysis packages for Engine Development by breaking down the process of data analysis into specific software requirements and then evaluating each of the open-source alternatives against these requirements. The paper will conclude by describing a practical strategy when converting an existing data analysis process over to its open-source equivalent.

The engine research and development has a significant contribution to meet the stringent emission norms and the changing global market demands. Leveraging the available virtual engineering methods to improve performance, velocity, quality and diminish the lead time is the key for any global brand to stay in the competition. It is the key element to reduce the research and development costs substantially by virtually developing the idea as it is conceived. Engine development test cells consist of expensive test and measurement systems which demand skilled labor and advanced equipment. Effective utilization of the test cells is essential to meet the scheduled project deadlines and cost targets. Engine Design process and tools when used effectively can increase the efficiency and lower the test cell operation costs substantially. This paper discusses the examples for this application in the area of engine installation, sensitive instrumentation/assembly.