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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.
Categories:Computers - Artificial Intelligence (AI)
Content Type:Books
Year:2024
Edition:1
Language:english
Pages:436
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