Real-time classification performance and failure mode analysis of a physical/chemical sensor array and a probabilistic neural network
| العنوان: | Real-time classification performance and failure mode analysis of a physical/chemical sensor array and a probabilistic neural network |
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| المؤلفون: | Sean J. Hart, Jennifer T. Wong, Mark T. Wright, Daniel T. Gottuk, Susan L. Rose-Pehrsson, Mark H. Hammond, Frederick W. Williams |
| المصدر: | Field Analytical Chemistry & Technology. 5:244-258 |
| بيانات النشر: | Wiley, 2001. |
| سنة النشر: | 2001 |
| مصطلحات موضوعية: | Fire test, Warning system, Fire detection, business.industry, Computer science, Automation, Analytical Chemistry, Reliability engineering, Probabilistic neural network, Sensor array, Fire protection, Environmental Chemistry, business, Instrumentation, Failure mode and effects analysis, General Environmental Science |
| الوصف: | The U.S. Navy program Damage Control-Automation for Reduced Manning is focused on enhancing automation of ship functions and damage control systems. A key element of this objective is the improvement of current fire-detection systems. An early warning fire-detection system is being developed by properly processing the output from sensors that measure different physical and chemical parameters of a developing fire or from analyzing multiple aspects of a given sensor output (e.g., rate of change as well as absolute value). The classification and speed of the probabilistic neural network (PNN), deployed in real-time, have been evaluated during a recent field test aboard the ex-USS SHADWELL, the Advanced Damage Control Fire Research Platform of the Naval Research Laboratory. The real-time performance is documented and as a result of optimization efforts, improvements in performance have been recognized. Early fire detection, while maintaining nuisance source immunity, has been demonstrated. A detailed examination of the PNN during fire testing has been undertaken. Using real and simulated data, a variety of scenarios (taken from recent field experiences) have been used or recreated for the purpose of understanding potential failure modes of the PNN in this application. © 2001 John Wiley & Sons, Inc. Field Analyt Chem Technol 5: 244–258, 2001 |
| تدمد: | 1520-6521 1086-900X |
| DOI: | 10.1002/fact.10004 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::4c3245a4130c639ca530db0c734485d9 https://doi.org/10.1002/fact.10004 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi...........4c3245a4130c639ca530db0c734485d9 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15206521 1086900X |
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| DOI: | 10.1002/fact.10004 |