Maintenance Platform Research Articles

Research and Practice of Application-Level Maintenance Platform Based on ITIL

There are many studies about application-level maintenance at present, with different levels and depth and business logic. However, there are some common characteristics from two respects: incident management and problem management of ITIL. This paper designs an application-level maintenance platform (AMP) on ITIL, which is a set of practices for IT service management (ITSM).AMP separates common characteristics from non-common characteristics collected, and implements functions of common characteristics. Users only develop functions of non-common characteristics to get a maintenance system for specific application quickly. AMP has been applied in practice successfully.

A SaaS Development Platform based on Cloud Computing

Using Java technology to research and develop a SaaS development and maintenance platform which is based on cloud computing ,it includes many modules such as the cloud computing load network, application server, development framework, cloud computing development engine , operation and maintenance system and so on. the platform can provide a complete network client software development scheme for the development of software and integration, it can reduce the user’s request to SaaS technology, and it can help the user to achieve operation service of product on the Internet. at the same time, the platform as a development tool can be used as a powerful supplement of core electronic devices, high-end general chip and basic software products. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2320

Design and Analysis of the Structure of the Fan Blade Maintenance Platform

Abstract. This article completed the design of fan blade maintenance platform structure through the determination of fan blade maintenance platform design scheme and parameters, and then introduced the basic function, structure and working principle of maintenance platform, completed the fan blade maintenance platform from 3D viewing using solidworks. And did static analysis under 3 different working conditions on the platform through the ANSYS12.0, and calculated the intensity of structural stress and specific deformation under different working conditions. And get the results that the maximum stress and maximum deformation of the platform under 3 different conditions are 115.68MPa and 2.246mm, and it's destructive to counterweight balance guide rail and connection location of hoist installation frame and hoist. Results of analysis shows that the platform satisfies the mechanical property requirements and provides effective scheme for further optimizes choice of structural members.

On a Predictive Maintenance Platform for Production Systems

Maintenance and support may account for as much as 60 to 75% of the total lifecycle cost of a manufacturing system. This paper presents a review on the predictive maintenance approaches, methods and tools in manufacturing systems and proposes an integrated predictive maintenance platform. This platform consists of three pillars, namely data acquisition and analysis, knowledge management, and a sustainability maintenance dashboard. The first pillar is responsible for data extraction and processing, the second one focuses on the maintenance knowledge modeling and representation and the third pillar provides advisory capabilities on maintenance planning with special emphasis given to environmental and energy performance indicators.

A multi-agent collaborative maintenance platform applying game theory negotiation strategies

Engineering asset management (EAM) is a broad discipline with distributed functions and services. When engineering assets are capital intensive, management requires specialized expertise for diagnosis, prognosis, maintenance and repairs. The current practice of EAM relies on self maintained experiential rules with coordinated collaboration and outsourcing for maintenance and repairs. In order to enhance the life long asset value and efficiency (from the stakeholder's viewpoint) and after sales service quality (from the asset provider's viewpoint), this research proposes a collaborative maintenance platform that integrates real time data collection with diagnostic and prognostic expertise. The collaborative system combines and delivers services among asset operation sites (the maintenance demanders), the service center (the intermediary coordinator), the system providers, the first tier maintenance collaborators, and the second and lower tier parts suppliers. Multi-agent system technology is used to integrate different systems and databases. Agents with autonomy and authority work to assist service providers and coordinate communications, negotiations, and maintenance decision support. Finally, game theory is used to design the decision models for strategic, tactical, and operational decision making during collaborative maintenance practices.

An intelligent condition-based maintenance platform for rotating machinery

Maintenance is of necessity for sustaining machinery availability and reliability in order to ensure productivity, product quality, on-time delivery, and safe working environment. The costly maintenance strategies such as corrective maintenance and scheduled maintenance have been progressively replaced by superior maintenance strategies in which condition-based maintenance (CBM) is one of the delegates. This strategy commonly consists of sequent modules such as data acquisition, signal processing, feature extraction and feature selection, condition monitoring, etc. However, approaches in literature which have been developed for each module and implemented for different applications are standalone instead of a comprehensive system. Furthermore, these approaches have been demonstrated in a laboratory environment without any industrial validations. For these reasons, an intelligent algorithm based CBM platform is proposed in this paper to be applied for rotating machinery easily and effectively. Subsequently, two case-studies are presented in order to evaluate the effectiveness of this platform in industrial applications.

Blue Monitor: A PEEM-based Online Battery Monitoring and Maintenance Platform

This article has been removed: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy).Further to an investigation the 2011 International Conference on Energy Systems and Electric Power (ESEP 2011), Energy Procedia, Volume 13 has been removed by the publisher due to insufficient assurances by the programme organisers that the professional ethical codes of publishing and standards were applied consistently. For author enquiries please contact: [email protected].

Internet Video based remote customer services

Abstract:This paper proposes a new remote diagnosis and repair services based on interactivevisual and audio communication over Internet. The proposed service contains threelevels of different remote diagnoses: Level (1): Video and audio interaction betweencustomer and remote service sites; Level (2): Simple signal collection from customer toremote service sites; Level (3): Diagnostic commands and responses between remoteservice and customer sites. The proposed remote diagnose and repair services have beensuccessfully tested and evaluated for its efficiency in technical manpower saving(approximately 85% lesser than traditional service), in service response time saving(approximately 90% lesser than traditional service), in mean time to repair saving(approximately 60% lesser than traditional service), and in service cost saving(approximately 95% cost down). In the near future, we intend to implement automateddiagnosis and repairing suggestion mechanism to further improve the efficiency oftechnical manpower of the proposed remote diagnosis and maintenance platform.

Interrupting a multi-species bioinvasion vector: The efficacy of in-water cleaning for removing biofouling on obsolete vessels

Vector management is the primary method for reducing and preventing nonindigenous species (NIS) invasions and their ecological and economic consequences. This study was the first to examine the efficacy of in-water scrubbing using a submersible cleaning and maintenance platform (SCAMP) to prevent invertebrate species transfers from a heavily fouled obsolete vessel. Initially, prior to treatment, 37 species were recorded in a biofouling matrix that reached 30 cm depth in some locations. The bryozoan Conopeum chesapeakensis, and bivalves Mytilopsis leucophaeata and Ischadium recurvum, were dominant sessile species that created structure, supporting mobile biota that included crabs and the associated parasitic barnacle Loxothylacus panopae. Scrubbing had the effect of significantly reducing organism extent and the number of species per sample, but a substantial and diverse (30 species) residual fouling community remained across the entire vessel. Further assessments of management options are needed to prevent potentially damaging NIS transfers. Additional measures taken within an integrated vector management (IVM) strategy may further improve invasion prevention measures.

Credit derivatives processing: A buy-side perspective on how to cope with rapidly increasing volumes

This paper addresses current issues in the over-the-counter (OTC) derivatives processing arena, with a focus on credit derivatives. It describes the approach that has been adopted by regulators and the industry to deal with the explosive growth of this market, along with the processing and infrastructure issues that have arisen in connection with this growth. It also describes the industry responses to input regarding these issues from regulators in the USA and the UK. In addition to describing the history of the market and the rapid growth it has experienced in recent years, particular focus is given to the steps taken by the major dealers in OTC derivatives, the Depository Trust and Clearing Corporation (DTCC) and vendors that support the market to address the processing backlog and to put in place a scalable infrastructure that will support this business going forward. In this context, the author attempts to present these issues from a buy-side perspective, both to illustrate the issues and solutions to a broad audience, and to encourage buy-side participants in this market, along with their service providers, to embrace fully the change that has taken place. Particular attention is paid to the development by DTCC of the DTCC Warehouse, the Deriv/SERV confirmation and maintenance platform for OTC derivative transactions, and emerging vendor solutions for OTC derivatives processing, along with suggestions as to how industry participants can utilise these services.

Using Knowledge-Based Intelligent Reasoning to Support Dynamic Equipment Diagnosis and Maintenance

This research focuses on the development of a rule-based intelligent equipment trouble-shooting and maintenance platform using JAVA Expert System Shell (JESS) technology. A prototype system is designed and developed combining rule-based knowledge system and inference engine to support real-time collaborative equipment maintenance across geographical boundary. The main modules of the system include diagnosis knowledge management, project (or case) management and system administration. The knowledge management module consists of key functions such as knowledge type definition, knowledge component definition, document definition, mathematical model definition, rule and rule-set management. The project management module has key functions such as project definition, project’s role management, project’s function management and project’s rule-set execution. Further, a Thin-Film Transistor Liquid-Crystal Display (TFT-LCD) production equipment diagnosis and maintenance system is designed and implemented to demonstrate the intelligent maintenance capability. The prototype system enhances agility of TFT-LCD collaborative manufacturing processes with real-time equipment diagnosis and maintenance.

The COP9 signalosome: an assembly and maintenance platform for cullin ubiquitin ligases?

The COP9 signalosome (CSN) is a highly conserved protein complex implicated in diverse biological functions that involve ubiquitin-mediated proteolysis. Paradoxically, conserved enzymatic activities associated with CSN inhibit cullin ubiquitin ligase activity in vitro, whereas mutational analysis suggests that CSN promotes cullin-dependent proteolysis in vivo. This apparent paradox can be resolved in a model that proposes CSN-mediated cullin inhibition is a prerequisite for the proper assembly and maintenance of active cullin ubiquitin ligase complexes.

SMART-a solution for managing the capacity, growth, and performance of wireless networks

The wireless communications industry has shown explosive growth in the recent past. At the same time, new information access technologies for the Internet have gained universal acceptance. In the wireless market, single mobile switching center analog systems have rapidly evolved into hybrid networks with time division multiple access and code division multiple access technologies. These developments have created a need for a comprehensive network performance management tool to measure and analyze capacity, growth, and performance of wireless networks. This need is being addressed by the state-of-the-art Systems Measurement Analysis and Reporting Tool (SMART), which is based on Internet access technology. SMART is being developed as one of the first Web-based tools on the Autoplex® 1000 product line and is designed to run on the operations and maintenance platform (OMP) in a client-server architecture, with the OMP acting as a network management server. SMART has extensive applications in making performance, capacity, and engineering-related decisions that are relevant during wireless systems planning, design, and operation. This paper describes the SMART architecture, its implementation on the Autoplex system, and applications in managing the capacity, growth, and performance of a wireless network. Though some features of SMART discussed here have been developed, SMART must not be construed as an openly available and fully supported product.

From service configuration through performance monitoring to fault detection: implementing an integrated and automated network maintenance platform for enhancing wide area transaction access services

The design and implementation of integrated and automated network–service management platforms that can seamlessly configure services, monitor service–network performance, and detect network faults are of great importance and interest to the service and network providers. In this paper we describe a set of integrated Operations Support Systems lOSSr that implement proactive network maintenance process in Wide Area Transaction Access Services. Copyright © 2000 John Wiley & Sons, Ltd.