On a containerized approach for the dynamic planning and control of a cyber - physical production system

Nikolakis, Nikolaos; Senington, Richard; Σίψας, Κωνσταντίνος; Syberfeldt, Anna; Makris, Sotiris

doi:10.1016/j.rcim.2019.101919

Cited by 41 publications

(17 citation statements)

References 32 publications

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“…The approach has shown effectiveness for timely warning when the tool is nearing the end of its life due to wear, as the spectral exponent becomes greater than 1. Other studies released, include Bayesian-filter-based [6] and Hidden Markov models [32]. In Lamraoui et al [33], cyclostationarity was applied to vibration acceleration signals.…”

Section: Methods For Assessing Rulmentioning

confidence: 99%

“…The recent advances in information and computing technologies have resulted in a new industrial revolution, commonly referred to as the fourth industrial revolution, or Industry 4.0. This has introduced new practices and better service activities in the sphere of industrial production [5], while also establishing new initiatives, such as cyber-physical systems (CPSs), converting factories into intelligent, and reconfigurable systems [6]. Cyber-physical systems are systems that collaborate computational entities which are in intensive connection with the surrounding world and its ongoing processes, providing and using data-accessing and data-processing services available on the internet [7].…”

Section: Cyber-physical Production Systemsmentioning

confidence: 99%

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Energy-Based Prognosis of the Remaining Useful Life of the Coating Segments in Hot Rolling Mill

2020

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The field of prognostic maintenance aims at predicting the remaining time for a system or component to continue being used under the desired performance. This time is usually named as Remaining Useful Life (RUL). The current study proposes a novel approach for the RUL estimation of coating segments placed on a hot rolling mill machine. A prediction method was developed, providing real-time updates of the RUL prediction during the rolling milling process. The proposed approach performs energy analysis on measurements of segment surface temperatures and hydraulic forces. It uses nonparametric statistical processes to update the predictions, within a prediction horizon/window, indicating the number of remaining products to be processed. To assess the probability of failure within the defined prediction window, Maximum Likelihood Estimation is used. The proposed methodology was implemented in a software prototype in the MATLAB environment and tested in an industrial use case coming from a steel parts manufacturer, facilitating testing and validation of the suggested approach. Real-world data were acquired from the operational machine, while the validation results support that the proposed methodology demonstrates reasonable performance and robustness against product type variations.

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Section: Methods For Assessing Rulmentioning

confidence: 99%

Section: Cyber-physical Production Systemsmentioning

confidence: 99%

Energy-Based Prognosis of the Remaining Useful Life of the Coating Segments in Hot Rolling Mill

2020

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“…The solutions reviewed right above are a glimpse of the actual panorama of human-robot interaction in simulated environments. However, a research branch about this topic is based on Human Cyber-Physical Systems (HCPSs), which introduces human behaviors models to respond better to human-based faults [149]- [151]. A variation of HCPSs relies on the addition of human cognitive skill into industrial control loops as Human-in-the-Loop (HiTL) techniques in order to react to unexpected human behaviors.…”

Section: Allowedmentioning

confidence: 99%

Human-Robot Interaction Review: Challenges and Solutions for Modern Industrial Environments

et al. 2021

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The demand for collaborative robots is growing in industrial environments due to their versatility and low prices. Thus, more collaborative solutions are emerging for industrial scenarios. However, implementing scenarios where robots work autonomously while synchronizing their operations in a safe industrial environment with shop-floor workers is not easy. To fill the gap existing in the safe implementation of industrial collaborative scenarios, this manuscript presents a review based on five identified challenges that gathers the primary vital aspects to bear in mind while developing applications for them. Thus, a four-level classification is proposed, which collects the identified challenges and the previous developments in the field of human-robot interaction. The five identified challenges pretends to be the missing enabling key for implementing industrial collaborative scenarios in modern industrial plants. Lastly, a discussion and conclusion are exposed to analyze the degree of development in the field and its potential growth.

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“…They differ from traditional water management technologies by including regulation, scheduling using real information from the WSS similar to the CPPS requirements. Establishing a criterion to measure HPU regarding the compliance of an intelligent WSS is difficult since there are no standardized CPPS metrics (Nikolakis et al, 2020). Therefore, for completeness reasons, a set of criteria has been adopted using the requirements of I4.0 (see "WSS requirements established by Intelligent Manufacturing Systems for I4.0" section), and Table 3 discusses its achievement of the classical architecture versus holonic WSS.…”

Section: Conf = Pm × Res Availablementioning

confidence: 99%

A control architecture for continuous production processes based on industry 4.0: water supply systems application

et al. 2021

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Industry 4.0 (I4.0) brings together new disruptive technologies, increasing future factories’ productivity. Indeed, the control of production processes is fast becoming a key driver for manufacturing operations. Manufacturing control systems have recently been developed for distributed or semi-heterarchical architectures, e.g., holonic systems improving global efficiency and manufacturing operations’ reactiveness. So far, previous studies and applications have not dealt with continuous production processes, such as applications for Water Supply System (WSS), oil refining, or electric power plants. The complexity of continuous production is that a single fault can degrade extensively and even cause service disruption. Therefore, this paper proposes the Holonic Production Unit (HPU) architecture as a solution to control continuous production processes. An HPU is created as a holon unit depicting resources in a continuous process. This unit can detect events within the environment, evaluate several courses of action, and change the parameters aligned to a mission. The proposed approach was tested using a simulated model of WSS. The experiments described in this paper were conducted using a traditional WSS, where the communication and decision-making features allow the application of HPU. The results suggest that constructing a holarchy with different holons can fulfill I4.0 requirements for continuous production processes.

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On a containerized approach for the dynamic planning and control of a cyber - physical production system

Cited by 41 publications

References 32 publications

Energy-Based Prognosis of the Remaining Useful Life of the Coating Segments in Hot Rolling Mill

Energy-Based Prognosis of the Remaining Useful Life of the Coating Segments in Hot Rolling Mill

Human-Robot Interaction Review: Challenges and Solutions for Modern Industrial Environments

A control architecture for continuous production processes based on industry 4.0: water supply systems application

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