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Feature Extraction Using S-Transform and 2DNMF for Diesel Engine Faults Classification,ning or learning outside the classroom. Therefore, this theory offers an excellent basis for developing applications supporting collaborative learning activities implementing seamless learning. In this chapter, we present and analyze two applications designed with the principles of situated learning

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https://doi.org/10.1007/978-3-319-41459-1Noise And Vibration Attenuation; Vibration Monitoring; Vibration Supervision; Fault Diagnosis; Stability

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978-3-319-82361-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl