Related references
Note: Only part of the references are listed.New prognosis approach for preventive and predictive maintenance - Application to a distillation column
Alaa Daher et al.
CHEMICAL ENGINEERING RESEARCH & DESIGN (2020)
Renovation of Automation System Based on Industrial Internet of Things: A Case Study of a Sewage Treatment Plant
Wanhao Zhu et al.
SENSORS (2020)
Predictive Maintenance for Pump Systems and Thermal Power Plants: State-of-the-Art Review, Trends and Challenges
Jonas Fausing Olesen et al.
SENSORS (2020)
A robust method for safety evaluation of steel trusses using Gradient Tree Boosting algorithm
Viet-Hung Truong et al.
ADVANCES IN ENGINEERING SOFTWARE (2020)
Fault handling in large water networks with online dictionary learning
Paul Irofti et al.
JOURNAL OF PROCESS CONTROL (2020)
Machine Learning Weather Soft-Sensor for Advanced Control of Wastewater Treatment Plants
Felix Hernandez-del-Olmo et al.
SENSORS (2019)
An Ontology-based Approach for Failure Classification in Predictive Maintenance Using Fuzzy C-means and SWRL Rules
Qiushi Cao et al.
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KES 2019) (2019)
Soft-sensing with qualitative trend analysis for wastewater treatment plant control
Christian M. Thurlimann et al.
CONTROL ENGINEERING PRACTICE (2018)
Efficient kNN Classification With Different Numbers of Nearest Neighbors
Shichao Zhang et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
Learning k for kNN Classification
Shichao Zhang et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2017)
A new concept of higher-order similarity and the role of distance/similarity measures in local classification methods
Roberto Todeschini et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2016)
Energy and Environmental Efficiency for the N-Ammonia Removal Process in Wastewater Treatment Plants by Means of Reinforcement Learning
Felix Hernandez-del-Olmo et al.
ENERGIES (2016)
Reliability analysis of a wastewater treatment plant using fault tree analysis and Monte Carlo simulation
Masoud Taheriyoun et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2015)
Data-derived soft-sensors for biological wastewater treatment plants: An overview
Henri Haimi et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2013)
EVOLVING RBF NEURAL NETWORKS FOR ADAPTIVE SOFT-SENSOR DESIGN
Alex Alexandridis
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (2013)
BoostingTree: parallel selection of weak learners in boosting, with application to ranking
Levente Kocsis et al.
MACHINE LEARNING (2013)
An emergent approach for the control of wastewater treatment plants by means of reinforcement learning techniques
Felix Hernandez-del-Olmo et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Control issues and challenges in wastewater treatment plants
Ryan Hamilton et al.
IEEE CONTROL SYSTEMS MAGAZINE (2006)
Share Paper
