An extendable data engine based on OPC specification

Hong, Xu; Wang, Jianhua

doi:10.1016/j.csi.2003.11.003

Cited by 12 publications

(6 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To implement this approach, we carefully studied the load features selection methods in the electric power system. Combining with the previous results in our work [11], we get an online daily load forecasting component, ODLF. As an independent functional modular, it can be used in any OPC-compatible environment for real-time load forecasting in distributed electrical system.…”

Section: Discussionmentioning

confidence: 65%

See 1 more Smart Citation

Online daily load forecasting based on support vector machines

Hong¹,

Wang²,

Zheng³

2005

2005 International Conference on Machine Learning and Cybernetics

View full text Add to dashboard Cite

In this paper a new Online Daily Load Forecasting (ODLF) approach is proposed for short term electrical load forecasting in practice. It incorporates the load forecasting algorithm based on the Support Vector Machines (SVMs) with OPC specifications and becomes a standard online load forecasting component. By carefully selecting the load features in the electric power system and using the improved Sequential Minimal Optimization algorithm, this algorithm can accurately predict the next day's load trend online. Especially the SVMs-based ODLF approach showed satisfied performance, such as powerful regression ability, acceptable predict accurateness and perfect foundation in theory. As an independent functional modular, the designed ODLF component can be used in any OPC-compatible environment for real-time load forecasting in distributed electrical system.

show abstract

Section: Discussionmentioning

confidence: 65%

“…The reference [11] gives detailed information about the design and implementation of an OPC DA server framework. Of course, based on our previous works and definition in [11], The ODLF algorithm modular is designed as a kind of Generalized Device. It is an extended concept of a physical device.…”

Section: Online Daily Load Forecasting Component Frameworkmentioning

confidence: 99%

Online daily load forecasting based on support vector machines

Hong¹,

Wang²,

Zheng³

2005

2005 International Conference on Machine Learning and Cybernetics

View full text Add to dashboard Cite

show abstract

“…The OSA-CBM standard has been defined as an implementation of ISO-13374, by the OSA-CBM development group through the Dual Use Science Technology (DUST) program in 2001 (Hong et al 2004).…”

Section: Osa-eai Architecturementioning

confidence: 99%

“…MIMOSA's OSA-EAI system specifications offer advantages for maintenance and reliability users as well as technology developers and suppliers (Shroff et al, 2011 The OSA-CBM specification defines architecture for moving information in a CBM system (Lebold et al, 2002). The OSA-CBM standard has been defined as an implementation of ISO-13374, by the OSA-CBM development group through the Dual Use Science Technology program in 2001 (Hong and Jianhua, 2004). 5.1.3 Product life cycle support (PLCS).…”

Section: Emaintenance Ontologiesmentioning

confidence: 99%

eMaintenance ontologies for data quality support

Al-Jumaili

Wandt

Karim

et al. 2015

Journal of Quality in Maintenance Engineering

View full text Add to dashboard Cite

Purpose – The purpose of this paper is to explore the main ontologies related to eMaintenance solutions and to study their application area. The advantages of using these ontologies to improve and control data quality will be investigated. Design/methodology/approach – A literature study has been done to explore the eMaintenance ontologies in the different areas. These ontologies are mainly related to content structure and communication interface. Then, ontologies will be linked to each step of the data production process in maintenance. Findings – The findings suggest that eMaintenance ontologies can help to produce a high-quality data in maintenance. The suggested maintenance data production process may help to control data quality. Using these ontologies in every step of the process may help to provide management tools to provide high-quality data. Research limitations/implications – Based on this study, it can be concluded that further research could broaden the investigation to identify more eMaintenance ontologies. Moreover, studying these ontologies in more technical details may help to increase the understandability and the use of these standards. Practical implications – It has been concluded in this study that applying eMaintenance ontologies by companies needs additional cost and time. Also the lack or the ineffective use of eMaintenance tools in many enterprises is one of the limitations for using these ontologies. Originality/value – Investigating eMaintenance ontologies and connecting them to maintenance data production is important to control and manage the data quality in maintenance.

show abstract

“…Interaction between each layer, depending on the careful selection of communication interfaces and data structures, is a key factor determining the DCS's overall quality and efficiency [9]. Because of that, various different IA vendors of control and instrumentation systems are gradually investing more valuable resources in versatile technological research, and are taking advantage of the latest trends and developments in hardware and software, making their products more intuitive, consistent and easier to configure [9]. To achieve this, each vendor usually focuses on and contributes to standardized solutions rather than designing proprietary, costly and private ones.…”

Section: Introductionmentioning

confidence: 99%

Bulletin of the Polish Academy of Sciences: Technical Sciences

Choinski¹,

Senik²

2018

View full text Add to dashboard Cite

The purpose of this study is to create, analyze and reuse an ontology-based approach during implementation of a multi-agent system (MAS) capable of integrating different elements of a distributed control system (DCS). Ontology is considered as knowledge about a particular domain. It includes static description of the domain's structure and properties, by means of which it is possible to define the domain's dynamic states, transitions between those states and conditions of those transitions. Because of that, it is possible to analyze such ontology in terms of modal logic in predicate logic settings.

show abstract

An extendable data engine based on OPC specification

Cited by 12 publications

References 11 publications

Online daily load forecasting based on support vector machines

Online daily load forecasting based on support vector machines

eMaintenance ontologies for data quality support

Bulletin of the Polish Academy of Sciences: Technical Sciences

Contact Info

Product

Resources

About