LEADER 03764nam 22006135 450 001 9910483083103321 005 20251202151641.0 010 $a3-030-62749-7 024 7 $a10.1007/978-3-030-62749-2 035 $a(CKB)4100000011728432 035 $a(DE-He213)978-3-030-62749-2 035 $a(MiAaPQ)EBC6460918 035 $a(PPN)253251052 035 $a(EXLCZ)994100000011728432 100 $a20210120d2021 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCondition Monitoring Algorithms in MATLABŪ /$fby Adam Jablonski 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (XXV, 527 p. 1026 illus., 988 illus. in color.) 225 1 $aSpringer Tracts in Mechanical Engineering,$x2195-9870 311 08$a3-030-62748-9 327 $aIntroduction -- Principles of condition monitoring systems -- Vibration components generated by rotary machinery -- Signal processing algorithms -- Vibration-based condition assessment methods -- Synthetic signals generation methods -- Simulating operational signals -- Simulating long-term machine fault development -- Analysis of long-term fault development -- Connecting MATLABŪ to CMS -- Development of interface for direct data access (DDA) -- Prototype tools. 330 $aThis book offers the first comprehensive and practice-oriented guide to condition monitoring algorithms in MATLABŪ. After a concise introduction to vibration theory and signal processing techniques, the attention is moved to the algorithms. Each signal processing algorithm is presented in depth, from the theory to the application, and including extensive explanations on how to use the corresponding toolbox in MATLABŪ. In turn, the book introduces various techniques for synthetic signals generation, as well as vibration-based analysis techniques for large data sets. A practical guide on how to directly access data from industrial condition monitoring systems (CMS) using MATLABŪ .NET Libraries is also included. Bridging between research and practice, this book offers an extensive guide on condition monitoring algorithms to both scholars and professionals. ?Condition Monitoring Algorithms in MATLABŪ is a great resource for anyone in the field of condition monitoring. It is a unique as it presents the theory, and a number of examples in MatlabŪ, which greatly improve the learning experience. It offers numerous examples of coding styles in Matlab, thus supporting graduate students and professionals writing their own codes." Dr. Eric Bechhoefer Founder and CEO of GPMS Developer of the Foresight MX Health and Usage Monitoring System. 410 0$aSpringer Tracts in Mechanical Engineering,$x2195-9870 606 $aMachinery 606 $aSignal processing 606 $aMultibody systems 606 $aVibration 606 $aMechanics, Applied 606 $aMachinery and Machine Elements 606 $aDigital and Analog Signal Processing 606 $aMultibody Systems and Mechanical Vibrations 615 0$aMachinery. 615 0$aSignal processing. 615 0$aMultibody systems. 615 0$aVibration. 615 0$aMechanics, Applied. 615 14$aMachinery and Machine Elements. 615 24$aDigital and Analog Signal Processing. 615 24$aMultibody Systems and Mechanical Vibrations. 676 $a620.00151 700 $aJab?on?ski$b Adam$0917598 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483083103321 996 $aCondition Monitoring Algorithms in MATLABŪ$94520341 997 $aUNINA