Remote Maintenance Services Research Articles

Research on Remote Fault Diagnosis System of Harvester

The structure of combined harvester is complex, and its operation process includes many processes. There is material transportation between each process, so blocking faults often occur. The blockage fault of combined harvester will seriously affect the efficiency of working and harvest quality, so this paper designs a remote diagnosis system of blockage fault of combined harvester. The system can carry out remote monitoring, fault diagnosis and fault alarm for the operation status of the combine, and also provide information management and other functions, which can effectively carry out remote maintenance services. This paper presents an IPSO-BP fault diagnosis model, which is tested by simulation test. The results show that the accuracy of fault prediction by this method is 97.78%. Compared with BP neural network model and PSO-BP model, the accuracy of fault prediction is improved by 5.28% and 13.45%, meeting the fault diagnosis requirements of combined harvester.

NLP-based insights discovery for industrial asset and service improvement: an analysis of maintenance reports

Even if usually filled in the form of unstructured text, maintenance service reports can be an important source of information for manufacturing companies providing field and remote maintenance services to their customers. By analyzing their content, companies can discover hidden knowledge that can be used for improvement purposes. By exploiting Natural Language Processing (NLP) techniques, this paper wants to show how an Italian company producing machinery can extract new knowledge from its maintenance database. The company under analysis started a servitization journey and need to understand how to improve the maintenance service delivery. By using the information extracted, the company can define improvement plans linked to both the maintenance service delivery and the asset design.

Smartphone based video-telemetry logger for remote maintenance services

The strong growth of mobile devices of increasing quality and data transfer rates allows the introduction of these devices in diverse fields. In recent years, with the introduction of the “Smart factory” concept, the use of MIDs (Mobile Internet Devices) in manufacturing and assembly processes is increasingly common. The use of smart devices began at the managerial level, but it is now moving down to the factory floor. This evolution unlocks a large number of high-value services: from the time reduction of normal activities to implementing augmented reality. This research project incorporates a real-world example and defines a first operational paradigm for the acquisition, transmittal, and display of multi-source information.The aim of this paper is to describe, with clear references to a real case, the basic principles which should guide the implementation on a mobile platform of a remote maintenance service based on a hybrid (video and telemetry) logger.

Customer expectations of remote maintenance services in the medical equipment industry

Purpose – Original equipment manufacturers offer maintenance services such as remote diagnostics to extend their portfolio. The purpose of this paper is to empirically investigate requirements and expectations regarding remote services (RSs) for maintaining complex high-tech equipment from a users’ point of view. Design/methodology/approach – A qualitative interview study based on 30 interviews and observations at 11 organizations in the healthcare industry was conducted in order to get a holistic understanding of requirements and expectations of the new service technology. Findings – This study shows that the focus on providing high-technology services is not sufficient to increase customer's usage, soft factors such as personal interaction, integration, and individualization are main expectations for customers in the medical equipment industry. The expectations are concentrated in seven propositions. Research limitations/implications – The interviews were conducted only in the healthcare industry. Even though is it possible to generalize the findings and transfer them to other sectors, a large-scale empirical survey should be conducted in different industries to verify the qualitative results. Practical implications – A framework for manager and service provider is set up that can help to improve the service offerings according to specific customer expectations. Originality/value – The paper provides an original perspective on a new service technology that facilitates remote maintenance of complex high-tech equipment. Through in-depth interviews, the author generates valuable insights that help to advance RS technologies.

Automating Configuration System and Protocol for Next‐Generation Home Appliances

Home appliance manufacturers have recently been trying to provide smart products capable of various Internet services. For example, one health care manufacturer provides a Wi‐Fi‐capable scale. Once users register their information with the manufacturer's server, their weight and body fat records are automatically uploaded to the server whenever they measure their weight. The users can then watch and check their weight log easily using a smart device, such as a smartphone or tablet. One of the biggest problems, however, is that the initial configuration of the appliances and the user registration process may be quite complicated to typical users who are unfamiliar with such IT devices. This paper proposes an autoconfiguration system structure and protocol for Internet‐capable home appliances, which supports the initial configuration and remote maintenance service of the device with only little user effort. Manufacturers can develop their own information appliances and provide differentiated services using the proposed system and protocol.

Steam Turbine Remote Maintenance Service Support Technology Based on RFID

A framework for supporting steam turbine remote maintenance support service is put forward in this paper. A RFID tag is designed to identify steam turbine. All monitored parameter data is scored in the datacenter of steam turbine cloud platform. User can get all relative data based on the unique RFID tag of steam turbine. The system can also provide fault diagnosis and maintenance solution service for steam turbine based on the fault request. The maintenance solution is given on the basis CBR (case-based reasoning) with rough set theory. A prototype system is developed to demonstrate the feasibility at last.

「画像診断装置等のリモートメンテナンスサービスに関するガイドライン」について

「画像診断装置等のリモートメンテナンスサービスに関するガイドライン」について

リモートメンテナンスサービスにおけるセキュリティ

リモートメンテナンスサービスにおけるセキュリティ

선박 통합 통신망 기반 원격 선박 유지보수 시스템 개발

Abstract The rapid growth of IT technology has enabled ship automation systems to gain better functionality and safety with reducedcosts and crew numbers. Nowadays, the remote maintenance services for the systems are required because a ship may belocated in a very remote area. To provide the remote maintenance services, some issues such as how to collect the ship automation systems data, how to monitor a ship's data from onshore offices, how to get support from experts while sailing,and how to reduce the maintenance costs, should be addressed. In this paper, we propose a remote ship maintenance system for remote monitoring and diagnostics of ship automation systems, which is based on both a ship area network to integrate separate system networks and a ship-shore communication infrastructure to support a remote access using satellitecommunications. Finally, we present the function test to verify the applicability of the proposed system.Keywords : Ship automation system(선박 자동화 시스템), Remote maintenance(원격 유지보수), Ship area network(선박 통합통신망), Satellite communications(위성통신)

Real-Time Control Performance Monitoring as a Tool for Remote Maintenance Service

Modern computer and information technology tools allow real-time control performance monitoring both in processing plants and from a remote location. This allows the development of new kind of service business. In this paper the principles of control performance monitoring is presented. Also, the issues of the remote monitoring are discussed.