Data-driven minimization of pump operating and maintenance cost

Engineering Applications of Artificial Intelligence

Volumn 40, Issue , 2015, Pages 37-46

  Zhang, Zijun ^a   He, Xiaofei ^b   Kusiak, Andrew ^b  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b IA United States   (United States)

Author keywords

Cost optimization; Data mining; Energy savings; Particle swarm optimization; Pump system; Scheduling

Indexed keywords

DATA MINING; ENERGY CONSERVATION; MAINTENANCE; MARKOV PROCESSES; PARTICLE SWARM OPTIMIZATION (PSO); PUMPS; SCHEDULING; SEWAGE TREATMENT PLANTS; WASTEWATER TREATMENT;

COST OPTIMIZATION; HIERARCHICAL PARTICLE SWARM OPTIMIZATION; MAINTENANCE DECISIONS; MAINTENANCE MODELS; MUNICIPAL WASTEWATER TREATMENT PLANTS; NEURAL NETWORK ALGORITHM; PUMP SYSTEM; WASTEWATER TREATMENT PROCESS;

COSTS;

EID: 84923373021     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2015.01.003     Document Type: Article

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