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An intelligent sensor array distributed system for vibration analysis and acoustic noise characterization of a linear switched reluctance actuator.
Salvado, José; Espírito-Santo, António; Calado, Maria.
Afiliação
  • Salvado J; EST, UTCEI, Polytechnic Institute of Castelo Branco, Castelo Branco, Portugal. josesalvado@ipcb.pt
Sensors (Basel) ; 12(6): 7614-33, 2012.
Article em En | MEDLINE | ID: mdl-22969364
ABSTRACT
This paper proposes a distributed system for analysis and monitoring (DSAM) of vibrations and acoustic noise, which consists of an array of intelligent modules, sensor modules, communication bus and a host PC acting as data center. The main advantages of the DSAM are its modularity, scalability, and flexibility for use of different type of sensors/transducers, with analog or digital outputs, and for signals of different nature. Its final cost is also significantly lower than other available commercial solutions. The system is reconfigurable, can operate either with synchronous or asynchronous modes, with programmable sampling frequencies, 8-bit or 12-bit resolution and a memory buffer of 15 kbyte. It allows real-time data-acquisition for signals of different nature, in applications that require a large number of sensors, thus it is suited for monitoring of vibrations in Linear Switched Reluctance Actuators (LSRAs). The acquired data allows the full characterization of the LSRA in terms of its response to vibrations of structural origins, and the vibrations and acoustic noise emitted under normal operation. The DSAM can also be used for electrical machine condition monitoring, machine fault diagnosis, structural characterization and monitoring, among other applications.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2012 Tipo de documento: Article País de afiliação: Portugal

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2012 Tipo de documento: Article País de afiliação: Portugal