LEADER 05271nam 22007335 450 001 9910337631503321 005 20200703143311.0 010 $a3-030-11220-9 024 7 $a10.1007/978-3-030-11220-2 035 $a(CKB)4100000007598200 035 $a(DE-He213)978-3-030-11220-2 035 $a(MiAaPQ)EBC5683645 035 $a(PPN)235005525 035 $a(EXLCZ)994100000007598200 100 $a20190207d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Condition Monitoring of Machinery in Non-Stationary Operations $eProceedings of the 6th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO?2018, 20-22 June 2018, Santander, Spain /$fedited by Alfonso Fernandez Del Rincon, Fernando Viadero Rueda, Fakher Chaari, Radoslaw Zimroz, Mohamed Haddar 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XI, 423 p. 274 illus., 218 illus. in color.) 225 1 $aApplied Condition Monitoring,$x2363-698X ;$v15 311 $a3-030-11219-5 327 $aCondition Monitoring in Non-Stationary Operations -- Extraction of Weak Bearing Fault Signatures from Non-Stationary Signals Using Parallel Wavelet Denoising -- Neighbor Retrieval Visualizer for Monitoring Lifting Cranes -- Monitoring and Diagnostic Systems -- Convolutional Neural Networks for Fault Diagnosis Using Rotating Speed Normalized Vibration -- Monitoring of a High-Speed Train Bogie Using the EMD Technique -- Default Detection in a Back-To-Back Planetary Gear-Box through Current and Vibration Signals -- Noise and Vibration in Machines -- Identification of Torsional Vibration Modal Parameters: Application on a Ferrari Engine Crankshaft -- Experimental Characterization of Metal-Mesh Isolators Damping Capacity by Constitutive Mechanical Model -- Signal Processing -- Separation of Impulse from Oscillation for Detection of Bearing Defect in the Vibration Signal -- Vibro-Acoustic Diagnosis of Machinery -- Cyclo-Non-Stationary Based Bearing Diagnostics of Planetary Gearboxes -- Cyclostationary Approach for Long Term Vibration Data Analysis -- Monitoring of Soil Density During Compaction Processes. 330 $aThis book is aimed at researchers, industry professionals and students interested in the broad ranges of disciplines related to condition monitoring of machinery working in non-stationary conditions. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO?2018, held on June 20 ? 22, 2018, in Santander, Spain. The book describes both theoretical developments and a number of industrial case studies, which cover different topics, such as: noise and vibrations in machinery, conditioning monitoring in non-stationary operations, vibro-acoustic diagnosis of machinery, signal processing, application of pattern recognition and data mining, monitoring and diagnostic systems, faults detection, dynamics of structures and machinery, and mechatronic machinery diagnostics. 410 0$aApplied Condition Monitoring,$x2363-698X ;$v15 606 $aManufactures 606 $aVibration 606 $aDynamical systems 606 $aDynamics 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aPhysics 606 $aManufacturing, Machines, Tools, Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/T22050 606 $aVibration, Dynamical Systems, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/T15036 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aNumerical and Computational Physics, Simulation$3https://scigraph.springernature.com/ontologies/product-market-codes/P19021 615 0$aManufactures. 615 0$aVibration. 615 0$aDynamical systems. 615 0$aDynamics. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aPhysics. 615 14$aManufacturing, Machines, Tools, Processes. 615 24$aVibration, Dynamical Systems, Control. 615 24$aSignal, Image and Speech Processing. 615 24$aNumerical and Computational Physics, Simulation. 676 $a670 676 $a620 702 $aFernandez Del Rincon$b Alfonso$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aViadero Rueda$b Fernando$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChaari$b Fakher$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZimroz$b Radoslaw$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHaddar$b Mohamed$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910337631503321 996 $aAdvances in Condition Monitoring of Machinery in Non-Stationary Operations$91540594 997 $aUNINA