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Artificial Intelligence in Process Fault Diagnosis: Methods for Plant Surveillance, 1st Edition by Richard J. Fickelscherer - 2025/2026 Exam Success Guide
Unlock mastery in plant surveillance with the latest 2025/2026 guide, 'Artificial Intelligence in Process Fault Diagnosis'. This comprehensive resource is expertly designed to help students pass advanced engineering exams on the first attempt. Dive deep into crucial AI methods, including expert systems, neural networks, and machine learning, to effectively diagnose process faults. Authored by Richard J. Fickelscherer, this book bridges theory and practice, providing the critical knowledge needed to excel academically and professionally. Secure your success and avoid costly resits with this essential study companion.
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