000 | 04365nam a22006495i 4500 | ||
---|---|---|---|
999 |
_c13049 _d13049 |
||
001 | 978-3-319-61927-9 | ||
003 | DE-He213 | ||
005 | 20211213092615.0 | ||
008 | 170921s2018 gw | s |||| 0|eng d | ||
020 | _a9783319619279 | ||
040 | _cAIKTC-KRRC | ||
041 | _aENG | ||
072 | 7 |
_aTGMD4 _2bicssc |
|
072 | 7 |
_aTEC009070 _2bisacsh |
|
072 | 7 |
_aTGMD _2thema |
|
082 | 0 | 4 |
_a620 _223 |
245 | 1 | 0 |
_aAdvances in Condition Monitoring of Machinery in Non-Stationary Operations _h[electronic resource] : _bProceedings of the 5th International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO’2016, 12–16 September 2016, Gliwice, Poland / |
250 | _a1st ed. 2018. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
|
300 |
_aX, 373 p. 206 illus., 159 illus. in color. _bCard Paper |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aApplied Condition Monitoring, _x2363-698X ; _v9 |
|
520 | _aThis book provides readers with a snapshot of recent methods for non-stationary vibration analysis of machinery. It covers a broad range of advanced techniques in condition monitoring of machinery, such as mathematical models, signal processing and pattern recognition methods and artificial intelligence methods, and their practical applications to the analysis of nonstationarities. 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’2016, held on September 12 – 16, 2016, in Gliwice, Poland. The contributions cover advances in both theory and practice in a variety of subfields, such as: smart materials and structures; fluid-structure interaction; structural acoustics as well as computational vibro-acoustics and numerical methods. Further topics include: engines control, noise identification, robust design, flow-induced vibration and many others. By presenting state-of-the-art in predictive maintenance solutions and discussing important industrial issues the book offers a valuable resource to both academics and professionals and is expected to facilitate communication and collaboration between the two groups. | ||
650 | 0 |
_aMechanical Engineering _94626 |
|
653 | _aVibration, Dynamical Systems, Control. | ||
653 | _aSignal, Image and Speech Processing. | ||
653 | _aManufacturing, Machines, Tools, Processes. | ||
700 | 1 |
_aTimofiejczuk, Anna. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aChaari, Fakher. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aZimroz, Radoslaw. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aBartelmus, Walter. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aHaddar, Mohamed. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319619262 |
776 | 0 | 8 |
_iPrinted edition: _z9783319619286 |
776 | 0 | 8 |
_iPrinted edition: _z9783319871929 |
830 | 0 |
_aApplied Condition Monitoring, _x2363-698X ; _v9 |
|
856 | 4 | 0 |
_uhttps://doi.org/10.1007/978-3-319-61927-9 _zClick here to access eBook in Springer Nature platform. (Within Campus only.) |
942 |
_cEBOOKS _2ddc |