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Vibration Measurement and Diagnostics

This special issue belongs to the section “Mechanical Engineering“.

Special Issue Information

Dear Colleagues,

So far, condition monitoring has become more and more relevant in different fields of application. Among others, the most challenging aspect in the field is still the diagnostics of rotating machineries in an industrial environment, and the most used sensor is still an accelerometer to measure the vibration signal from the device under test.

Over the last few decades, scientific literature has proposed amazing analytical tools to process vibration data in different operating conditions, both stationary and non-stationary. But the development of algorithms is just a part of the diagnostics process; the choice of the proper measurement chain can also favor or hinder data analysis. Recently, accelerometers have begun being used together with other sensors like encoders, strain-gauges, and current probes in order to increase the information content available for diagnostics.

Data acquisition and post processing – together – depict a wider and clearer portrait of the diagnostics problem and its solution. This Special Issue focuses on sharing recent advances, developments, and applications on the condition monitoring of machineries with particular attention to all aspects of the process: from the design of the experimental setup to data processing, from the choice of sensors to component diagnostics. Different applications or working conditions could require different approaches to diagnostics to success. We invite you to share your experience and knowledge and to show the results of your work.

Prof. Dr. Marco Cocconcelli
Prof. Dr. Gianluca D’Elia
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Measurements
  • Vibration analysis
  • Diagnosis
  • Fault detection
  • Machinery
  • Structural health monitoring
  • Condition monitoring
  • Signal processing
  • Big data
  • Deep learning
Graphical abstract

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Appl. Sci. - ISSN 2076-3417