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Data-Driven Fault Detection and Reasoning for Industrial Monitoring

of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as;

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Data-Driven Design of Fault Diagnosis and Fault-Tolerant Control Systems

, and control methods and introduces advanced data-driven schemes for the design of fault diagnosis and fault-tolerant control systems catering;

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Data-Driven and Model-Based Methods for Fault Detection and Diagnosis

Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and;

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Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches

columns), ozone pollution, road traffic congestion, and solar photovoltaic systems. Uses a data-driven based approach to fault;

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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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Fault Detection

for engineers, economists, technical consultants, researchers, etc. who are involved in the advancement of fault detection, and for those who;

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Fault Detection

Fault detection and identification (FDI) play a fundamental role in most modern industrial systems and processes. They are essential;

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Advanced and Intelligent Computations in Diagnosis and Control

: (I) Fault Detection and Isolation; (II) Estimation and Identification; (III) Robust and Fault Tolerant Control; (IV) Industrial and Medical;

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Monitoring Multimode Continuous Processes

This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and;

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Monitoring Multimode Continuous Processes

This book examines recent methods for data-driven fault diagnosis of multimode continuous processes. It formalizes, generalizes, and;

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Fault Detection

of fault detection including the introduction of an automatic, effective but simpler-to-use system for fault diagnosis in bearings; the monitoring;

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Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control

Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control presents various mechanistic model based state estimators;

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Fault-Diagnosis Applications: Model-Based Condition Monitoring

Supervision, condition-monitoring, fault detection, fault diagnosis and fault management play an increasing role for technical processes;

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Fault Diagnosis and Fault-Tolerant Control of Robotic and Autonomous Systems

under rotor-tilt axle stuck fault; an unknown input observer based framework for fault and icing detection and accommodations in overactuated;

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Chemical Process Performance Evaluation

The latest advances in process monitoring, data analysis, and control systems are increasingly useful for maintaining the safety;

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Signal Processing for Solar Array Monitoring, Fault Detection, and Optimization

of fault detection, topology optimization, and performance evaluationdata visualization. First, several types of commonly occurring PV array;

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Fault-Diagnosis Applications: Model-Based Condition Monitoring: Actuators, Drives, Machinery, Plants, Sensors, and Fault-Tolerant Systems

Supervision, condition-monitoring, fault detection, fault diagnosis and fault management play an increasing role for technical processes;

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Gas Turbine Diagnostics

fault detection Innovative nonlinear filters for data cleaning developed using optimization methods An edge detector based on gradient and;

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Gas Turbine Diagnostics

keeping the key signal features that may indicate a fault. The book brings together recent methods in data filtering, trend shift detection, and;

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Methodologies Of Using Neural Network And Fuzzy Logic Technologies For Motor Incipient Fault Detection

monitoring and fault detection schemes, improved safety and reliability can be achieved for different engineering system operations. The importance;

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Knowledge-Driven Board-Level Functional Fault Diagnosis

as a reference to derive insightful knowledge from data analysis and use this knowledge as guidance for designing reasoning-based diagnosis;

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Batch Fermentation: Modeling

real-time process supervision, and fault detection and diagnosis, Batch Fermentation offers valuable simulation and control;

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

, since causal processing gives no benefit for condition monitoring A discussion of fault detection, diagnosis and prognosis in rotating and;

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Sensor Technologies for Civil Infrastructures, Volume 2

, with chapters on data management technologies, data analysis, techniques for damage detection and structural damage detection. Parttwo is made;

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Machinery Condition Monitoring

is one of the most widely used fault detection techniques, the book offers an assessment of vibration analysis and rotor-dynamics. It also covers;

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Machinery Condition Monitoring

Since vibration is one of the most widely used fault detection techniques, the book offers an assessment of vibration analysis and rotor;

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Intelligent Condition Based Monitoring

design and performance of such systems and provides case studies and data models for fault detection and diagnosis. The contents cover everything;

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