[HTML][HTML] Considerations, challenges and opportunities when develo** data-driven models for process manufacturing systems

OJ Fisher, NJ Watson, JE Escrig, R Witt, L Porcu… - Computers & Chemical …, 2020 - Elsevier
The increasing availability of data, due to the adoption of low-cost industrial internet of things
technologies, coupled with increasing processing power from cloud computing, is fuelling …

The cascade regulation of small RNA and quorum sensing system: Focusing on biofilm formation of foodborne pathogens in food industry

Y Zhang, Q Wu, S Forsythe, C Liu, N Chen, Y Li… - Food Bioscience, 2023 - Elsevier
Biofilms containing foodborne pathogens can adhere to food ingredients or food processing
equipment. Due to their enhanced resilience to cleaning and chance of cross-contamination …

Intelligent sensors for sustainable food and drink manufacturing

NJ Watson, AL Bowler, A Rady, OJ Fisher… - … in Sustainable Food …, 2021 - frontiersin.org
Food and drink is the largest manufacturing sector worldwide and has significant
environmental impact in terms of resource use, emissions, and waste. However, food and …

Clean-in-place monitoring of different food fouling materials using ultrasonic measurements

J Escrig, E Woolley, S Rangappa, A Simeone… - Food Control, 2019 - Elsevier
Clean-in-Place is an autonomous technique used to clean the internal surfaces of
processing equipment in the food and drink sector. However, these systems clean for a …

Monitoring the cleaning of food fouling in pipes using ultrasonic measurements and machine learning

J Escrig, E Woolley, A Simeone, NJ Watson - Food Control, 2020 - Elsevier
Food and drink production equipment is routinely cleaned to ensure it remains hygienic and
operating under optimal conditions. A limitation of existing cleaning systems is that they do …

[HTML][HTML] Intelligent industrial cleaning: a multi-sensor approach utilising machine learning-based regression

A Simeone, E Woolley, J Escrig, NJ Watson - Sensors, 2020 - mdpi.com
Effectively cleaning equipment is essential for the safe production of food but requires a
significant amount of time and resources such as water, energy, and chemicals. To optimize …

Ultrasonic measurements and machine learning for monitoring the removal of surface fouling during clean-in-place processes

JE Escrig, A Simeone, E Woolley, S Rangappa… - Food and bioproducts …, 2020 - Elsevier
Cleaning is an essential operation in the food and drink manufacturing sector, although it
comes with significant economic and environmental costs. Cleaning is generally performed …

Intelligent resource use to deliver waste valorisation and process resilience in manufacturing environments: Moving towards sustainable process manufacturing

OJ Fisher, NJ Watson, JE Escrig… - Johnson Matthey …, 2020 - ingentaconnect.com
Circular economy (CE) thinking has emerged as a route to sustainable manufacture, with
related cradle-to-cradle implications requiring implementation from the design stage. The …

A computer vision approach to improve maintenance automation for thermal power plants lubrication systems

N Bao, Y Fan, C Li, A Simeone - Journal of Quality in Maintenance …, 2023 - emerald.com
Purpose Lubricating oil leakage is a common issue in thermal power plant operation sites,
requiring prompt equipment maintenance. The real-time detection of leakage occurrences …

A circular economy for reusable plastic packaging: digital assessment for cleaning assurance

E Woolley, S Nahar, A Simeone, K Lee, GT Wilson - Procedia CIRP, 2024 - Elsevier
Single use plastic packaging is widely accepted to cause significant negative environmental
impacts. One option to reduce these impacts is to develop commercially viable and socially …