Real Time Ethernet networks evaluation using performance indicators

2009 ◽  
Author(s):  
L. Seno ◽  
S. Vitturi ◽  
C. Zunino
Keyword(s):  
Real Time ◽  
Performance Indicators ◽  
Ethernet Networks

The Study of Motor Winding Testing System for Inter-Turn with 30kV

2013 ◽  
Vol 278-280 ◽  
pp. 831-834 ◽  
Author(s):  
Xiao Sun ◽  
Hao Zhou ◽  
Xiang Jiang Lu ◽  
Yong Yang
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Field Test ◽  
Performance Indicators ◽  
Testing System ◽  
Time Data ◽  
Process Data ◽  
Real Time Data ◽  
Long Time ◽  
Factory Testing

This paper designed a motor winding testing system, it can do the dielectric withstand voltage test of inter-turn under 30kV.The system can communicate effectively between PC and machine, by using the PC's powerful capacity of process data and PLC's better stability and the Labview's convenient UI. So the system has real-time data collection, preservation, analysis and other characteristics. This system is able to achieve factory testing and type testing of the motor windings facilitating. Various performance indicators were stable and reliable by field test during a long time.

Real-time wireless extensions of industrial ethernet networks

2017 ◽  
Author(s):  
Michele Luvisotto ◽  
Alessia Tagliapietra ◽  
Stefano Romagnolo ◽  
Federico Tramarin ◽  
Stefano Vitturi
Keyword(s):  
Real Time ◽  
Industrial Ethernet ◽  
Ethernet Networks

MTU configuration for real-time switched Ethernet networks

2016 ◽  
Vol 70 ◽  
pp. 15-25 ◽  
Author(s):  
Mohammad Ashjaei ◽  
Moris Behnam ◽  
Luis Almeida ◽  
Thomas Nolte
Keyword(s):  
Real Time ◽  
Switched Ethernet ◽  
Ethernet Networks

New Quality Assurance Tests for Building Quality Concrete Pavement

2017 ◽  
Vol 2630 (1) ◽  
pp. 41-50 ◽  
Author(s):  
Jagan M. Gudimettla ◽  
Michael F. Praul ◽  
Jim Grove
Keyword(s):  
Real Time ◽  
Performance Indicators ◽  
Technology Implementation ◽  
New Technologies ◽  
Concrete Pavement ◽  
Design Stage ◽  
Past Century ◽  
The Past ◽  
Concrete Materials ◽  
Made In

Concrete materials and paving technologies have evolved considerably during the past century. However, testing technologies for concrete during construction have not kept pace. Some of the tests that are routinely used are not necessarily performance indicators and some are not made in real time. Seven new technologies are presented that are simple, real-time, field implementable, and economical and in many cases are performance indicators. Although some of these technologies could be used during the mixture design stage, others could be used during construction and some for both purposes. These technologies can be used to supplement or, in some cases, to replace the traditional tests for paving concrete. The discussion focuses on three items: ( a) traditional tests for paving concrete, ( b) new tests and technologies that could be used to supplement or replace the traditional tests, and ( c) suggested future specifications. Data collected by the FHWA Mobile Concrete Laboratory from its technology implementation efforts are presented to support the narrative on the benefits of these new technologies.

scholarly journals Causality Learning Approach for Supervision in the Context of Industry 4.0

2021 ◽  
pp. 316-322
Author(s):  
Kenza Amzil ◽  
Esma Yahia ◽  
Nathalie Klement ◽  
Lionel Roucoules
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Influencing Factors ◽  
Performance Indicators ◽  
Industry 4.0 ◽  
Learning Approach ◽  
Causality Analysis ◽  
Real Time Monitoring ◽  
Process Flow ◽  
Full Control

AbstractIn order to have a full control on their processes, companies need to ensure real time monitoring and supervision using Key Performance Indicators (KPI). KPIs serve as a powerful tool to inform about the process flow status and objectives’ achievement. Although, experts are consulted to analyze, interpret, and explain KPIs’ values in order to extensively identify all influencing factors; this does not seem completely guaranteed if they only rely on their experience. In this paper, the authors propose a generic causality learning approach for monitoring and supervision. A causality analysis of KPIs’ values is hence presented, in addition to a prioritization of their influencing factors in order to provide a decision support. A KPI prediction is also suggested so that actions can be anticipated.

Implementation of a Digital Roadmap with Best-in-Class Applications

2021 ◽  
Author(s):  
John McIntosh ◽  
Renata Martin ◽  
Pedro Alcala ◽  
Stian Skjævesland ◽  
John Rigg
Keyword(s):  
Real Time ◽  
Case Studies ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Third Party ◽  
Commercial Application ◽  
Time Data ◽  
Operating Model ◽  
Wide Range ◽  
Real Time Data

Abstract The paper describes a project known internally as "InWell" to address multiple requirements in Repsol Drilling & Completions. InWell is defined by a new Operating Model comprising Governance, People, Process, Functions and Technology. This paper addresses changes to the Technology element - often referred to as "Digitalization". The paper includes a discussion about the business transformation strategy and case studies for addressing three of 18 functionalities identified in the first round of development. The InWell development strategy followed four steps; identification of performance issues, envisioning of a future operating model, identification of functionalities required/supporting this operating model and matching to digital solutions. Our case studies focus on three functionalities provided by three separate companies, Unification of Planning and Compliance, Real Time Data aggregation and Key Performance Indicators. Each functionality was addressed with an existing commercial application customized to meet specific requirements. A corporate web-based Well Construction Process (WCP) was initially piloted and then extended to include all well projects. The WCP identifies the key Tasks that must be completed per project, and these are all tracked. Data from this application is used by a third-party Business Analytics application via an API. Real time data from many sites and a wide range of sources was aggregated and standardized, Quality Controlled and stored within a private secure cloud. The data collation service is an essential building block for current third-party applications such as the operating centre and is a prerequisite for the goal of increased automation. A suite of Operator specific Key Performance Indicators (KPIs) and data analytics services were developed for drilling and completions. Homogenized KPIs for all business units provide data for objective performance management and apples-to-apples comparison. Results are presented via custom dashboards, reports, and integrations with third party applications to meet a wide range of requirements. During a four-month Pilot Phase the InWell Project delivered € 2.5 million in tangible savings through improvements in operational performance. In the first 12 months € 16 million in savings were attributed to InWell. By 2022 forecast savings are expected to exceed € 60 million (Figures 1 & 2). The value of Intangible benefits is thought to exceed these objective savings. Figure 1 The Business Case for InWell – Actual & Projected Savings and Costs. Figure 2 InWell Services addressing Value Levers and quantified potential impact. A multi-sourced digital strategy can produce quick gains, is easily adapted, and provides high value at low risk. The full benefit of digital transformation can only be realised when supported by an effective business operating model.

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