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Event log is the important starting point of any process analysis technique. Existent business process analysis techniques are applied mainly to manual or simulated logs, considering mainly information about control perspective. In this paper, we first analyze the feature of data perspective of PLM (product lifecycle management) system in manufacturing area, and extend the MXML format to support the log with data perspective information in PLM domain. Subsequently, we introduce an approach of data cleaning to separate the multi-version process information in real-life data set. In the end, we produce real-life log with information about data perspective in PLM system, then, mine the process model from real-life log and evaluate the proposed approach by fitness measuring.