ICRRM 2019 - System Reliability, Quality Control, Safety, Maintenance and Management : Applications to Civil, Mechanical and Chemical Engineering / edited by Vinit Kumar Gunjan, Sri Niwas Singh, Tran Duc-Tan, Gloria Jeanette Rincon Aponte, Amit Kumar.
Contributor(s): Gunjan, Vinit Kumar, editor | Singh, Sri Niwas, editor | Duc-Tan, Tran, editor | Rincon Aponte, Gloria Jeanette, editor | Kumar, Amit, editor
Series: (Engineering (Springer-11647)).Publisher: Singapore : Springer Singapore, 2020Edition: 1st ed. 2020.Description: 1 recurso en línea (XVIII, 292 páginas) : 235 ilustraciones, 205 ilustraciones a color.ISBN: 9789811385070.Subject: Fiabilidad (Ingeniería)Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TA169 2020 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook06012074 |
Tentative topics covered: Graded quality assurance -- Service engineering and service design -- Reliability in engineering design -- Fault tolerant system design -- Reliability centered maintenance -- Uncertainty analysis -- Safety-critical system performance -- Maintenance and reliability for chemical engineers.
Content of this proceedings discusses emerging trends in structural reliability, safety and disaster management, covering topics like total quality management, risk maintenance and design for reliability. Some papers also address chemical process reliability, reliability analysis and engineering applications in chemical process equipment systems and includes a chapter on reliability evaluation models of chemical systems. Accepted papers from 2019 International Conference on Reliability, Risk Maintenance and Engineering Management (ICRRM 2019) are part of this conference proceeding. It offers useful insights to road safety engineers, disaster management professionals involved in product design and probabilistic methods in manufacturing systems.
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