| contributor author | Rowan, Steven L. | |
| contributor author | Breault, Ronald W. | |
| contributor author | Weber, Justin M. | |
| contributor author | Soundarrajan, Narasimhan | |
| date accessioned | 2022-02-04T14:15:14Z | |
| date available | 2022-02-04T14:15:14Z | |
| date copyright | 2020/03/13/ | |
| date issued | 2020 | |
| identifier issn | 0195-0738 | |
| identifier other | jert_142_7_070906.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4273280 | |
| description abstract | A study was conducted to explore the applicability of recurrence and recurrence quantification analysis (RQA) to the detection of process failures in spouted bed reactor systems. Three different potential failure modes were examined in a transparent, cold flow slot-rectangular spouted bed. These being, a simulated air leak from a side wall of the reactor, a simulated gas leak from the top wall of the reactor, and simulated agglomeration of solids via introduction of larger “klinker” particles. Bed pressure drop time history data were collected and analyzed via generation of recurrence plots (RPs) and RQA parameters. In general, the simulated agglomeration case was quite easily detected via ever RQA Parameter examined, whereas the simulated air leaks were detected by only a single RQA parameter. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Process Failure Detection via Recurrence Quantification Analysis in a Slot-Rectangular Spouted Bed | |
| type | Journal Paper | |
| journal volume | 142 | |
| journal issue | 7 | |
| journal title | Journal of Energy Resources Technology | |
| identifier doi | 10.1115/1.4046457 | |
| page | 70906 | |
| tree | Journal of Energy Resources Technology:;2020:;volume( 142 ):;issue: 007 | |
| contenttype | Fulltext | |
