Alternative Techniques in Vibration Measurement and Analysis

Dear Colleagues,

The potential of vibration signal analysis as a powerful tool to inspect mechanical systems has been known since the latter decades of the 1800s, and, at first glance, it might be considered a consolidated science with a poor outlook of innovation. On the contrary, research on this topic has remained intense, even today. Unceasing advances in both technology and knowledge have been boosting up the practical impact of vibration signal analysis in many fields and applications, such as automotive, aerospace, machinery and industrial plants, civil structures, energy harvesters, and even biological systems.

New technologically advanced equipment for experimental measurements, increasingly smart signal processing algorithms, and exploitation of accurate modeling techniques offer countless combinations of analysis tools, among which it is often difficult to orient oneself.

This Special Issue is intended to gather a collection of papers where alternative approaches to vibration data acquisition and analysis are compared and critically discussed in order to bring out the corresponding strengths and weaknesses (very often strictly dependent on specific applications). The overall purpose is to track the progress of technical and technological advances based on back-to-back comparisons and, as a consequence, to draw the way toward possible best practices for vibration analysts.

Topics of interest include, but are not limited to, review and comparative studies among:

• Sensors (e.g., effectiveness of different transducers, performance of different sensor models, effectiveness and efficiency of alternative sensors setup, etc.);
• Application-driven techniques of signal processing (e.g., for fault detection, diagnostics and prognostics of machinery and civil structures, system dynamics identification, real-time active control of vibrations, etc.);
• Signal processing techniques to optimally extract meaningful information from vibration data (e.g., Time- vs. Frequency- vs. Time/Frequency Domain analyses, definition of metrics and/or indices to evaluate certain events, etc.);
• Modal testing techniques (e.g., Experimental vs. Operational Modal Analyses, Displacement vs. Strain modal testing, etc.);
• Data fusion criteria (e.g., to optimize the sensor setup to implement condition-based maintenance of machinery, vehicles, civil structures, etc.);
• Qualification testing procedures (e.g., Standards tests vs. Test Tailoring);
• Equipment and data analysis techniques in Rotordynamics.

Prof. Dr. Marco Troncossi
Guest Editor

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• vibration measurement
• equipment for vibration data acquisition
• vibration signal analysis
• system dynamics monitoring
• vibration-based diagnostics and prognostics
• condition-based monitoring maintenance
• system dynamics identification
• modal testing
• qualification to vibration testing
• rotordynamics analysis tools