Recent studies into the estimation and control of an activated sludge process (ASP) at a
wastewater treatment plant suggest that artificial-intelligence methods, such as neural …

In wastewater treatment plants, the most adopted sensors are those with the properties of
low cost and fast response. Soft sensors are alternative solutions to the hardware sensor for …

This work deals with the design and implementation of soft sensors for a Sulfur Recovery
Unit (SRU) in a refinery. Soft sensors are mathematical models able to emulate the behavior …

In wastewater treatment process (WWTP), the accurate and real-time monitoring values of
key variables are crucial for the operational strategies. However, most of the existing …

The on-line monitoring of wastewater treatment plant (WWTP) operations is a challenge due
to interference and breakdown from the harsh conditions endured by sensors in wastewater …

During the last years, machine learning-based control and optimization systems are playing
an important role in the operation of wastewater treatment plants in terms of reduced …

In wastewater treatment plants (WWTPs), some variables such as BOD5 and COD that are
related to e uent quality, are di cult to measure directly online due to technical or economic …

The development and commercial use of virtualized sensing (smooth) in the manufacturing
of Polyethylene Terephthalate (PET) and sewage treatment are both covered in this paper …

Small-scale distributed water treatment equipment such as sequencing batch reactor (SBR)
is widely used in the field of rural domestic sewage treatment because of its advantages of …

Wastewater treatment plants are complex, non-linear, engineered systems of physical,
biological and chemical processes operating at different timescales. Sensor systems are …