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Condition-based Maintenance and Machine Diagnostics

Condition-based monitoring is an accepted feature of many industries: petro-chemical, power generation, coal mining and steel-making, for;

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Proceedings of IncoME-V & CEPE Net-2020

October 23-25, 2020. Topics include vibro-acoustics monitoring, condition-based maintenance, sensing and instrumentation, machine health;

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Process Monitoring, Diagnostics and Prognostics in Machining Processes

Condition-Based Maintenance (CBM) technology increases system availability and safety while reducing costs, attributed to reduced;

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Vibration-based Condition Monitoring - Industrial, Automotive and Aerospace Applications, Second Edition

resource from an industry leader The newly revised Second Edition of Vibration-based Condition Monitoring: Industrial, Automotive and Aerospace;

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Condition Monitoring

-effective maintenance practice such as condition-based maintenance. This book therefore provides a stepwise approach for the determination of the;

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Prognostics and Health Management of Electronics

loading conditions assess the cost and benefits of prognostic implementations develop novel methods for in situ monitoring of products and;

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The CNC Insider

Maintenance, Machine Condition and Inspections, CNC Business Related Tips, Mini Guide for CNC Machine Buyers, CNC Business Service Directory and More...;

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Machine Learning for Cyber Physical Systems

. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they;

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Machine Learning for Cyber Physical Systems

. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they;

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Intelligent Data-Analytics for Condition Monitoring

Intelligent Data-Analytics for Condition Monitoring: Smart Grid Applications looks at intelligent and meaningful uses of data required;

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Power Plant Surveillance and Diagnostics

contributions through a thorough peer-reviewing process. Condition Monitoring and Early Fault Detection provide for better efficiency of energy systems;

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Machine Learning for Cyber Physical Systems

, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive;

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Machine Tool Reliability

. From the manufacturers' point of view, it discusses various approaches for reliability and maintenance based design of machine tools;

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Intelligent Condition Based Monitoring

This book discusses condition based monitoring of rotating machines using intelligent adaptive systems. The book employs computational;

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Intelligent Condition Based Monitoring

This book discusses condition based monitoring of rotating machines using intelligent adaptive systems. The book employs computational;

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The MANTIS Book

possible failure, prevent damage, and save costs. The MANTIS Book aims to highlight the underpinning fundamentals of Condition-Based;

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Mechanical Vibrations and Condition Monitoring

Mechanical Vibrations and Condition Monitoring presents a collection of data and insights on the study of mechanical vibrations for the;

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Integrated Reliability

with a technological inheritance model-based software program Integrated Reliability: Condition Monitoring and Maintenance of Equipment;

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A Textbook of Reliability and Maintenance Engineering

in maintenance. Manpower planning and training. Fault diagnosis and condition monitoring. Spare parts management and quality control. Budgets;

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Asset Condition, Information Systems and Decision Models

Asset Condition, Information Systems and Decision Models, is the second volume of the Engineering Asset Management Review Series. The;

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Offshore Pipelines

Gulf of Mexico have placed a new importance on maintenance and reliability.A new section; Condition Based Maintenance (CBM), introduces the;

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E-maintenance

sensors, on-line lubrication sensors, smart tags for condition monitoring, wireless communication and smart personal digital assistants. E;

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EEG-Based Diagnosis of Alzheimer Disease

EEG-Based Diagnosis of Alzheimer Disease: A Review and Novel Approaches for Feature Extraction and Classification Techniques provides a;

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Rotating Machinery and Signal Processing

field of machine diagnostics and condition monitoring. It gathers contributions to the first Workshop on Signal Processing Applied to Rotating;

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Condition Monitoring with Vibration Signals

frameworks based on compressive sampling, subspace learning techniques for machine condition monitoring, and much more. Covers the;

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Data Intensive Industrial Asset Management: Iot-Based Algorithms and Implementation

, machine learning techniques, asset failure distribution estimation, reliability and availability enhancement, condition based maintenance policy;

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Machine Vibration Analysis and Health Monitoring

This book describes a methodology for early fault detection and diagnostics in an ocean turbine using vibration analysis and Finite Element;

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