Equipment fault diagnosis system of sequencing batch reactors using rule-based fuzzy inference and on-line sensing data

Water Science and Technology

Volumn 53, Issue 4-5, 2006, Pages 383-392

  Kim, Y J ^a   Bae, H ^a   Poo, K M ^a   Ko, J H ^a   Kim, B G ^b   Park, T J ^a   Kim, C W ^a  

^a Pusan National University   (South Korea)

^b Korea Water Resources Corporation   (South Korea)

Author keywords

Diagnosis; Expert system; Fault detection; Fuzzy inference; Rule base; SBR

Indexed keywords

ALGORITHMS; COMPUTER CONTROL; EXPERT SYSTEMS; FUZZY CONTROL; ONLINE SYSTEMS; REMOTE SENSING;

EQUIPMENT FAULT DIAGNOSIS SYTEM; ON-LINE SENSING DATA; RULE-BASED FUZZY INFERENCE; SEQUENCING BATCH REACTORS;

CHEMICAL REACTORS;

ALGORITHMS; CHEMICAL REACTORS; COMPUTER CONTROL; EXPERT SYSTEMS; FUZZY CONTROL; ONLINE SYSTEMS; REMOTE SENSING;

EXPERT SYSTEM; FAILURE ANALYSIS; FUZZY MATHEMATICS;

ALGORITHM; ANALYTICAL ERROR; ARTICLE; BIOSENSOR; CONTROLLED STUDY; EQUIPMENT DESIGN; ONLINE SYSTEM; PERFORMANCE; SEQUENCING BATCH REACTOR; WASTE WATER MANAGEMENT;

ALGORITHMS; BIOREACTORS; EQUIPMENT FAILURE ANALYSIS; FUZZY LOGIC; HYDROGEN-ION CONCENTRATION; ONLINE SYSTEMS; OXIDATION-REDUCTION; OXYGEN; WASTE DISPOSAL, FLUID;

EID: 33646746581     PISSN: 02731223     EISSN: None     Source Type: Book Series    
DOI: 10.2166/wst.2006.144     Document Type: Article

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