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[HTML][HTML] Considerations, challenges and opportunities when develo** data-driven models for process manufacturing systems
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 …
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 …
equipment. Due to their enhanced resilience to cleaning and chance of cross-contamination …
Intelligent sensors for sustainable food and drink manufacturing
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
requiring prompt equipment maintenance. The real-time detection of leakage occurrences …
A circular economy for reusable plastic packaging: digital assessment for cleaning assurance
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 …
impacts. One option to reduce these impacts is to develop commercially viable and socially …