Combustion Quality Evaluation by Burning Noise Analysis
| Autor: | Eugen Lupu, Simina Emerich, Radu Arsinte |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science media_common.quotation_subject Visual examination Process (computing) ComputerApplications_COMPUTERSINOTHERSYSTEMS Combustion 01 natural sciences 010305 fluids & plasmas 010101 applied mathematics Support vector machine Microcontroller Noise Combustion process 0103 physical sciences Quality (business) 0101 mathematics Process engineering business media_common |
| Zdroj: | 2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR). |
| DOI: | 10.1109/aqtr49680.2020.9130010 |
| Popis: | The quality of the burning process can be evaluated by employing different approaches, such as: using electrochemical transducers, by visual examination, or by the analysis of the noise produced by the burning process. This work presents an approach to detect the different burning states in progress, by investigating the sound of the combustion process. These outcomes can then be employed to take decisions to maintain the burning process in an optimal state. Our proposal in this stage provides some encouraging results. The method, with some adjustments, may be implemented on low cost platforms like microcontrollers, due to the reduced computational requirements using the TESPAR DZ features. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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