{ "item_title" : "Model-Based Fault Diagnosis Techniques", "item_author" : [" Steven X. Ding "], "item_description" : "Guaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification (FDI) is receiving considerable attention. This book introduces basic model-based FDI schemes, advanced analysis and design algorithms, and mathematical and control-theoretic tools. This second edition of Model-Based Fault Diagnosis Techniques contains: - new material on fault isolation and identification and alarm management; - extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises; - addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and - enhanced discussion of residual evaluation which now deals with stochastic processes. Model-based Fault Diagnosis Techniques will interest academic researchers working in fault identification and diagnosis and as a text it is suitable for graduate students in a formal university-based course or as a self-study aid for practising engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/44/716/111/1447161114_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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