Augmented Reality Application to Support Remote Maintenance as a Service in the Robotics Industry

Mourtzis, Dimitris; Zogopoulos, Vasilios; Vlachou, Ekaterini

doi:10.1016/j.procir.2017.03.154

Cited by 162 publications

(78 citation statements)

References 27 publications

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“…The majority of the works is focused on the remote assistance of technical maintenance operations through the various AR-based frameworks. a typical application of remote maintenance support is presented in Reference [21], where the technicians are capable of performing maintenance operations in robotic arm manipulators with the use of AR-projected instructions. Another unique AR framework for the support of MRO is presented in Reference [22].…”

Section: Augmented Reality Based Remote Maintenancementioning

confidence: 99%

“…Therefore, for each of the machine-tools examined in this process, two basic metrics will be used. According to the guidelines given by Chryssolouris in Reference [21] regarding the mathematical programming of manufacturing systems, the operating and maintenance costs for a machine can be calculated by the equation below.…”

Section: Validation Strategy-design Of Experimentsmentioning

confidence: 99%

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Real-Time Remote Maintenance Support Based on Augmented Reality (AR)

2020

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In the realm of the current industrial revolution, interesting innovations as well as new techniques are constantly being introduced by offering fertile ground for further investigation and improvement in the industrial engineering domain. More specifically, cutting-edge digital technologies in the field of Extended Reality (XR) have become mainstream including Augmented Reality (AR). Furthermore, Cloud Computing has enabled the provision of high-quality services, especially in the controversial field of maintenance. However, since modern machines are becoming more complex, maintenance must be carried out from experienced and well-trained personnel, while overseas support is timely and financially costly. Although AR is a back-bone technology facilitating the development of robust maintenance support tools, they are limited to the provision of predefined scenarios, covering only a limited number of scenarios. This research work aims to address this emerging challenge with the design and development of a framework, for the support of remote maintenance and repair operation based on AR, by creating suitable communication channels between the shop-floor technicians and the expert engineers who are utilizing real-time feedback from the operator's field of view. The applicability of the developed framework is tested in vitro in a lab-based machine shop and in a real-life industrial scenario.

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Section: Augmented Reality Based Remote Maintenancementioning

confidence: 99%

Section: Validation Strategy-design Of Experimentsmentioning

confidence: 99%

Real-Time Remote Maintenance Support Based on Augmented Reality (AR)

2020

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“…The study participants consider the active support of the diagnosis as well as the availability of information and checklists for the respective process steps to be the most helpful measures during the service visit [8]. Digital assistance systems (DAS) can enhance human performances, depending the degree of digitization, by providing relevant information for a given specific task [9]. Maintenance operators and engineers can capture information through the used device more quickly and more precisely, while they are performing maintenance, inspection or repair tasks [10].…”

Section: Digital Assistance In Knowledge-based Maintenancementioning

confidence: 99%

“…The emergence of novel wearable technologies (in this paper referred to as a type of DAS) such as smart glasses, smart watches and tablets spurred new concepts of service support systems [9]. DAS combined with Cloud manufacturing concepts provide an opportunity to deal with the increasingly complex maintenance procedures [3], [9].…”

Section: Digital Assisted Maintenance (Dam)mentioning

confidence: 99%

A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance

Kovács

Ansari

Geisert

et al. 2018

Machine Learning for Cyber Physical Systems

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Digital transformation and evolution of integrated computational and visualisation technologies lead to new opportunities for reinforcing knowledge-based maintenance through collection, processing and provision of actionable information and recommendations for maintenance operators. Providing actionable information regarding both corrective and preventive maintenance activities at the right time may lead to reduce human failure and improve overall efficiency within maintenance processes. Selecting appropriate digital assistance systems (DAS), however, highly depends on hardware and IT infrastructure, software and interfaces as well as information provision methods such as visualization. The selection procedures can be challenging due to the wide range of services and products available on the market. In particular, underlying machine learning algorithms deployed by each product could provide certain level of intelligence and ultimately could transform diagnostic maintenance capabilities into predictive and prescriptive maintenance. This paper proposes a process-based model to facilitate the selection of suitable DAS for supporting maintenance operations in manufacturing industries. This solution is employed for a structured requirement elicitation from various application domains and ultimately mapping the requirements to existing digital assistance solutions. Using the proposed approach, a (combination of) digital assistance system is selected and linked to maintenance activities. For this purpose, we gain benefit from an in-house process modeling tool utilized for identifying and relating sequence of maintenance activities. Finally, we collect feedback through employing the selected digital assistance system to improve the quality of recommendations and to identify the strengths and weaknesses of each system in association to practical usecases from TU Wien Pilot-Factory Industry 4.0.

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“…15 Medipix2-based detector devices execute a real-time measuremenst of the composition of radiation and the spectral characteristics inside the ATLAS detector during its operation [3]. Internet-based, service-oriented system employs Augmented Reality remote tele-maintenance platform technology help client and manufacturer [4]. With the help of four-channel Remote Control (RC) is tailored to control multiple DC motors and other devices on Unmanned Guided Vehicle (UGV) [5].…”

Section: Introductionmentioning

confidence: 99%

Manipulation of Electronic Devices and Data in Dispensing Pumps

Mani.M¹,

U²,

M³

et al. 2019

IJITEE

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The sale of fuel through electronics controlled based Dispensing units in the retail outlets are the source of manipulation. The stake holders are customers and are directly affected by the unauthorized manipulation by the petroleum product selling units. The electronic devices are more prone for changing the original encrypted data or stored data as a program. The program stored in this device can be altered unauthenticated by external device attached to the original circuit’s boarders. The circuits board is build with the microcontroller based hardware that controls the outlet pipe by setting the control signal by the selling unit. This can be alter by changing the pulse which are used to modulate the information bits so that cheating the customer by alter the set control bit by deliver less or more through the dispensing unit. This research article focus on explore the possibilities to make the encryption method of control bits more robust than the present simple pulse modulation techniques.

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Augmented Reality Application to Support Remote Maintenance as a Service in the Robotics Industry

Cited by 162 publications

References 27 publications

Real-Time Remote Maintenance Support Based on Augmented Reality (AR)

Real-Time Remote Maintenance Support Based on Augmented Reality (AR)

A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance

Manipulation of Electronic Devices and Data in Dispensing Pumps

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