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001			291138
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007			cr nn 008mamaa
008			150903s2010 xxk| o |||| 0|eng d
020			_a9781849961066 _99781849961066
024	7		_a10.1007/9781849961066 _2doi
035			_avtls000344628
039		9	_a201509030424 _bVLOAD _c201405050310 _dVLOAD _y201402061302 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTJ212-225
100	1		_aSbárbaro, Daniel. _eeditor. _9322287
245	1	0	_aAdvanced Control and Supervision of Mineral Processing Plants / _cedited by Daniel Sbárbaro, René del Villar.
264		1	_aLondon : _bSpringer London, _c2010.
300			_axx, 312 páginas _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aAdvances in Industrial Control, _x1430-9491
500			_aSpringer eBooks
505	0		_aProcess Observers and Data Reconciliation Using Mass and Energy Balance Equations -- Multivariate Image Analysis in Mineral Processing -- Soft Sensing -- Dynamic Simulation and Model-based Control System Design for Comminution Circuits -- Automatic Control of Flotation Columns -- Industrial Products for Advanced Control of Mineral Processing Plants.    .
520			_aModern mineral processing plants are required to be safe and profitable and to minimize their environmental impact. The consequent quest for higher operational standards at reduced cost is leading the industry towards automation technologies as capital-effective means of attaining these objectives. Advanced Control and Supervision of Mineral Processing Plants describes the use of dynamic models of major items of mineral processing equipment in the design of control, data reconciliation and soft-sensing schemes; through examples, it illustrates tools integrating simulation and control system design for comminuting circuits and flotation columns. Full coverage is given to the design of soft sensors based on either single-point measurements or more complex measurements like images. The chief issues concerning steady-state and dynamic data reconciliation and their employment in the creation of instrument architecture and fault diagnosis are surveyed. In consideration of the widespread use of distributed control and information management systems in mineral processing, the book describes the current platforms and toolkits available for implementing such advanced systems. Applications of the techniques described in real mineral processing plants are used to highlight their benefits; information for all of the examples, together with supporting MATLAB® code can be found at www.springer.com/978-1-84996-105-9. The provision of valuable tools and information on the use of modern software platforms and methods will benefit engineers working in the mineral processing industries, and control engineers and academics interested in the real industrial practicalities of new control ideas. The book will also be of interest to graduate students in chemical, metallurgical and electronic engineering looking for applications of control technology in the treatment of raw materials.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_adel Villar, René. _eeditor. _9322288
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781849961059
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84996-106-6 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c291138 _d291138