@article{1434476,
      recid = {1434476},
      author = {Jablonski, Adam,},
      title = {Condition monitoring algorithms in MATLAB® /},
      pages = {1 online resource (xxv, 527 pages) :},
      abstract = {This book offers the first comprehensive and  practice-oriented guide to condition monitoring algorithms  in MATLAB®. After a concise introduction to vibration  theory and signal processing techniques, the attention is  moved to the algorithms. Each signal processing algorithm  is presented in depth, from the theory to the application,  and including extensive explanations on how to use the  corresponding toolbox in MATLAB®. In turn, the book  introduces various techniques for synthetic signals  generation, as well as vibration-based analysis techniques  for large data sets. A practical guide on how to directly  access data from industrial condition monitoring systems  (CMS) using MATLAB® .NET Libraries is also included.  Bridging between research and practice, this book offers an  extensive guide on condition monitoring algorithms to both  scholars and professionals. "Condition Monitoring  Algorithms in MATLAB® is a great resource for anyone in the  field of condition monitoring. It is a unique as it  presents the theory, and a number of examples in Matlab®,  which greatly improve the learning experience. It offers  numerous examples of coding styles in Matlab, thus  supporting graduate students and professionals writing  their own codes." Dr. Eric Bechhoefer Founder and CEO of  GPMS Developer of the Foresight MX Health and Usage  Monitoring System},
      url = {http://library.usi.edu/record/1434476},
      doi = {https://doi.org/10.1007/978-3-030-62749-2},
}