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Record Nr. |
UNINA9910437880003321 |
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Titolo |
Ultrasonic fluid quantity measurement in dynamic vehicular applications : a support vector machine approach / / Jenny Terzic ... [et al.], editors |
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Pubbl/distr/stampa |
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Cham, Switzerland ; ; New York, : Springer, c2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (136 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Fluid dynamic measurements |
Neural networks (Computer science) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Introduction -- Ultrasonic Sensing Technology.-Ā Ultrasonic Sensor Based Fluid Level Sensing Using Support Vector Machines -- Methodology and Experimental Program -- Experimentation -- Results -- Discussion -- Conclusion and Future Work. |
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Sommario/riassunto |
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Accurate fluid level measurement in dynamic environments can be assessed using a Support Vector Machine (SVM) approach. SVM is a supervised learning model that analyzes and recognizes patterns. It is a signal classification technique which has far greater accuracy than conventional signal averaging methods. Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications: A Support Vector Machine Approach describes the research and development of a fluid level measurement system for dynamic environments. The measurement system is based on a single ultrasonic sensor. A Support Vector Machines (SVM) based signal characterization and processing system has been developed to compensate for the effects of slosh and temperature variation in fluid level measurement systems used in dynamic environments including automotive applications. It has been demonstrated that a simple ν-SVM model with Radial Basis Function (RBF) Kernel with the inclusion of a Moving Median filter could be used to achieve the high levels of accuracy required for fluid level |
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