Artificial Intelligence in Process Fault Diagnosis: Methods for Plant Surveillance - Image 1

£103.24

John Wiley & Sons Inc Artificial Intelligence in Process Fault Diagnosis: Methods for Plant Surveillance

Name: Artificial Intelligence in Process Fault Diagnosis: Methods for Plant Surveillance
Brand: John Wiley & Sons Inc
Price: 103.24 GBP
Availability: InStock

AI & Machine Learning

This is the usual price. Wait for it to drop, or tell us your number.

£103 today · usual range £0–£0 · best ever £90

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 335 days • 327 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 335 days • 9 price levels

Days at Price

Current Price

Price Analysis

Most common price: £90 (178 days, 54.4%)

Price range: £90 - £131

Price levels: 9 different prices over 327 days

Description

Artificial Intelligence in Process Fault Diagnosis A comprehensive guide to the future of process fault diagnosis Automation has revolutionized every aspect of industrial production, from the accumulation of raw materials to quality control inspections. Even process analysis itself has become subject to automated efficiencies, in the form of process fault analyzers, i.e., computer programs capable of analyzing process plant operations to identify faults, improve safety, and enhance productivity. Prohibitive cost and challenges of application have prevented widespread industry adoption of this technology, but recent advances in artificial intelligence promise to place these programs at the center of manufacturing process analysis. Artificial Intelligence in Process Fault Diagnosis brings together insights from data science and machine learning to deliver an effective introduction to these advances and their potential applications. Balancing theory and practice, it walks readers through the process of choosing an ideal diagnostic methodology and the creation of intelligent computer programs. The result promises to place readers at the forefront of this revolution in manufacturing. Artificial Intelligence in Process Fault Diagnosis readers will also find: Coverage of various AI-based diagnostic methodologies elaborated by leading experts Guidance for creating programs that can prevent catastrophic operating disasters, reduce downtime after emergency process shutdowns, and more Comprehensive overview of optimized best practices Artificial Intelligence in Process Fault Diagnosis is ideal for process control engineers, operating engineers working with processing industrial plants, and plant managers and operators throughout the various process industries.

Product Specifications

Brand: John Wiley & Sons Inc
Format: Hardcover
ASIN: 111982589X
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 01 February 2024
Listed Since: 10 January 2023

Barcode

No barcode data available

John Wiley & Sons Inc Artificial Intelligence in Process Fault Diagnosis: Methods for Plant Surveillance

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing (Advances in Intelligent Decision-Making, Systems Engineering, and Project Management)

Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing

Process Plant Operating Procedures: Synthesis, Simulation and Abnormal Situation Management (Advances in Industrial Control)

Process Plant Operating Procedures: Synthesis, Simulation and Abnormal Situation Management (Advances in Industrial Control)

Electronics in Advanced Research Industries: Industry 4.0 to Industry 5.0 Advances (IEEE Press)

AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications (Intelligent Manufacturing and Industrial Engineering)

Machinery Failure Analysis and Troubleshooting: Practical Machinery Management for Process Plants: 2

Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes: 377 (Lecture Notes in Control and Information Sciences, 377)

Smart Process Plants: Software and Hardware Solutions for Accurate Data and Profitable Operations: Data Reconciliation, Gross Error Detection, and Instrumentation Upgrade (MECHANICAL ENGINEERING)

Functional Safety of Machinery: How to Apply ISO 13849-1 and IEC 62061

Digitizing Production Systems: Selected Papers from ISPR2021, October 07-09, 2021 Online, Turkey (Lecture Notes in Mechanical Engineering)

Proceedings of the 23rd International Conference on Industrial Engineering and Engineering Management 2016: Theory and Application of Industrial Engineering

Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future: Proceedings of SOHOMA 2019: 853 (Studies in Computational Intelligence, 853)

Advanced and Intelligent Computations in Diagnosis and Control: 386 (Advances in Intelligent Systems and Computing, 386)

Proceedings of 20th International Conference on Industrial Engineering and Engineering Management: Theory and Apply of Industrial Management

Intelligent Manufacturing Management Systems: Operational Applications of Evolutionary Digital Technologies in Mechanical and Industrial Engineering

Troubleshooting Rotating Machinery: Including Centrifugal Pumps and Compressors, Reciprocating Pumps and Compressors, Fans, Steam Turbines, Electric Motors, and More

Work Study and Ergonomics

Profit Maximization Techniques for Operating Chemical Plants

Machine Learning for Sustainable Manufacturing in Industry 4.0: Concept, Concerns and Applications (Mathematical Engineering, Manufacturing, and Management Sciences)

International Congress and Workshop on Industrial AI 2021 (Lecture Notes in Mechanical Engineering)

Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future: Proceedings of SOHOMA 2020: 952 (Studies in Computational Intelligence, 952)

Topics in Artificial Intelligence Applied to Industry 4.0

Innovations in Industrial Engineering (Lecture Notes in Mechanical Engineering)