| Description |
1 online resource |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Contents |
Front Cover; eMaintenance; eMaintenance: Essential Electronic Tools for Efficiency; Copyright; Contents; 1 -- Sensors and Data Acquisition; 1.1 SENSORS IN MAINTENANCE AND THE NEED TO INTEGRATE INFORMATION; 1.1.1 Sensors Put Intelligence Into Maintenance; 1.1.1.1 Sensing Maintenance Needs; 1.1.1.2 Going Wireless; 1.1.1.3 Enhancing Equipment, Both New and Old; 1.1.1.4 Taking Intelligence to the Next Level; 1.1.2 Basic Sensor Technology; 1.1.2.1 Sensor Data Sheets; 1.1.2.2 Sensor Performance Characteristics; 1.1.2.2.1 Transfer Function; 1.1.2.2.2 Sensitivity; 1.1.2.2.3 Span or Dynamic Range. |
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1.1.2.2.4 Accuracy or Uncertainty1.1.2.2.5 Hysteresis; 1.1.2.2.6 Nonlinearity (Often Called Linearity); 1.1.2.2.7 Noise; 1.1.2.2.8 Resolution; 1.1.2.2.9 Bandwidth; 1.1.3 Role of Sensors and Objectives of Sensing; 1.1.4 Distributed Intelligent Sensors; 1.1.5 Infrastructure for Intelligent Systems; 1.2 SENSOR FUSION; 1.2.1 Principles of Sensor Fusion; 1.2.2 Motivation for Sensor Fusion; 1.2.3 Limitations of Sensor Fusion; 1.2.4 Types of Sensor Fusion; 1.2.4.1 C3I Versus Embedded Real-Time Applications; 1.2.4.2 Three-Level Categorization; 1.2.4.3 Categorization Based on Input/Output. |
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1.2.4.4 Categorization Based on Sensor Configuration1.2.5 Architectures for Sensor Fusion; 1.2.5.1 Joint Directors of Laboratories Fusion Architecture; 1.2.5.2 Waterfall Fusion Process Model; 1.2.5.3 Boyd Model; 1.2.5.4 LAAS Architecture; 1.2.5.5 Omnibus Model; 1.3 SENSOR NETWORKS: A DISTRIBUTED APPROACH IN LARGE ASSETS; 1.3.1 Sensor Network Research in the 21st Century; 1.3.2 Technology Trends; 1.3.3 Wireless Sensor Network; 1.3.3.1 Sensor Node Architecture; 1.3.3.2 Characteristics of Wireless Sensor Networks; 1.3.3.3 Fields of Application of Wireless Sensor Networks. |
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1.3.3.3.1 Security and Surveillance1.3.3.3.2 Environmental Monitoring; 1.3.3.4 Health Applications; 1.3.3.5 Smart Buildings; 1.3.3.6 Energy Control Systems; 1.3.3.7 Area Monitoring; 1.3.3.8 Agriculture Applications; 1.3.3.8.1 Agriculture; 1.3.3.8.2 Greenhouse Monitoring; 1.3.3.9 Industrial Applications; 1.3.3.10 Structural Monitoring; 1.3.4 New Applications of Sensor Networks; 1.3.4.1 Infrastructure Security; 1.3.4.2 Environment and Habitat Monitoring; 1.3.4.3 Industrial Sensing; 1.3.4.4 Traffic Control; 1.4 SMART SENSORS; 1.4.1 Structure of Smart Sensor. |
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1.4.2 Standards of Smart Sensor Network1.4.3 Importance and Adoption of Smart Sensor; 1.4.3.1 Cost Improvement; 1.4.3.2 Reduced Cost of Bulk Cables and Connectors; 1.4.3.3 Remote Diagnostics; 1.4.3.4 Enhancement of Application; 1.4.3.4.1 Self-Calibration; 1.4.3.4.2 Computation; 1.4.3.4.3 Communication; 1.4.3.4.4 Multisensing; 1.4.3.5 System Reliability; 1.4.3.6 Better Signal to Noise Ratio; 1.4.3.7 Sensor Improvement; 1.4.4 General Architecture of Smart Sensor; 1.4.5 Description of Smart Sensor Architecture; 1.4.6 Varieties of Smart Sensors; 1.4.7 Smart Sensors for Condition Based Maintenance. |
| Summary |
Annotation eMaintenance: Essential Electronic Tools for Efficiency enables the reader to improve efficiency of operations, maintenance staff, infrastructure managers and system integrators, by accessing a real time computerized system from data to decision. In recent years, the exciting possibilities of eMaintenance have become increasingly recognized as a source of productivity improvement in industry. The seamless linking of systems and equipment to control centres for real time reconfiguring is improving efficiency, reliability, and sustainability in a variety of settings. The book provides an introduction to collecting and processing data from machinery, explains the methods of overcoming the challenges of data collection and processing, and presents tools for data driven condition monitoring and decision making. This is a groundbreaking handbook for those interested in the possibilities of running a plant as a smart asset. Provides an introduction to collecting and processing data from machineryExplains how to use sensor-based tools to increase efficiency of diagnosis, prognosis, and decision-making in maintenanceDescribes methods for overcoming the challenges of data collection and processing. |
| Bibliography |
Includes bibliographical references and index. |
| Subject |
Software maintenance.
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Computer systems.
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Sensor networks.
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Logiciels -- Entretien et réparations.
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Systèmes informatiques.
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Réseaux de capteurs.
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COMPUTERS -- Programming -- Open Source.
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COMPUTERS -- Software Development & Engineering -- General.
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COMPUTERS -- Software Development & Engineering -- Tools.
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Computer systems
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Sensor networks
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Software maintenance
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| Added Author |
Kumar, Uday.
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| Other Form: |
Print version: Galar, Diego. EMaintenance. [Place of publication not identified] : Academic Press, 2017 0128111534 9780128111536 (OCoLC)964303425 |
| ISBN |
9780128111543 (electronic bk.) |
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0128111542 (electronic bk.) |
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0128111534 |
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9780128111536 |
| Standard No. |
AU@ 000060410271 |
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CHBIS 011069569 |
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CHNEW 001014390 |
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CHVBK 499786602 |
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GBVCP 892971703 |
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UKMGB 018385654 |
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