E365 Analytics® is a platform independent web application. The service is a powerful decision support for efficient and cost-effective maintenance for our customers. Using the service requires an internet connection. The service is tailored to each customer, and data is available in real time via computers, tablets and mobile phones.

Below you’ll find a description on how the service works and what results you can expect.

 


Data generation

Our service is based on the measurement and maintenance data already available to our customers. No investments required for new measuring stations or different kinds of sensors.


Data acquisition

The first step is to ensure access to all measurement and maintenance data, both historical data and real-time data. Our service gathers and manages data and information in different formats and structures.


Data integration

In this step, data is integrated from relevant sensors and protocols. Linkages and relationships between data and information are made. The information is structured to be analysed.


Data processing

Next comes validation, as all information should be linked to, for example, locomotives, wagons, axles, wheels, and components. Using advanced algorithms, we filter measurement errors and noise in all data and information.


Data analysis

Statistics and time series are analysed and compared with the maintenance and saftey levels. We forecast remaining useful life (RUL) and the need for preventive maintenance.

Maintenance operations are synchronized and optimized. Everything happens in real time and updates occur as new data comes in.


Data visualization

The data that appears in the analysis is visualized according to customer specification, what the customer wants to see and how it should be presented so that it best suits the organization’s needs. The visualization (of the results) occurs in real time, and means that the customer constantly has access to accurate (updated) information.


Decision making

As our customer, you have a powerful decision support tool for planning and control of maintenance related to remaining useful lifetime (RUL). You get a maintenance strategy that increases reliability, availability and profitability.


Expected results

-Increased reliability and availability

-Reduced capital expenditures (CAPEX)

-Decreased maintenance costs (OPEX)

News

20170925

E365 further strengthens the company skills

Per-Olof Larsson Kråik (PO) goes into E365 as part-owner and Technical Director, Railway Engineering. PO is an international authority in railway engineering and maintenance technology, he has an extensive and unique experience of research and development work linked to industrial activities. Through his involvement in the company we strengthen our competence and competitiveness even further.


During his professional life, PO has been focusing his work to improve the performance of existing assets. For example, to increase the performance of railway networks through optimisation of operation and maintenance of railway systems. He has been focusing on developing effective and efficient maintenance methods that will lead to increase system availability at the lowest costs leading to overall improvement in performance of system/assets. He has been involved in preparation of research applications

PO has more than 20 years of industrial experience in railway engineering, focusing on heavy haul and freight operations. He has been carried out several research and consultancy projects for several organizations in Europe and Australia. Beside his deep knowledge in railway engineering, he has also been working with problems in different machine elements, industrial tribology problems, systems engineering of mechanical systems (Reliability, Maintainability and Supportability) and strategic operation and maintenance decision making processes for different organisations. In his PhD he was focusing on tribology, mainly in the area of bearings and grease lubrication for grease manufactures and bearing industry.

He has been written more than 60 articles and cases studies in the areas of Machine Element, Mechanical Engineering. Railway, Tribology, Reliability, Maintainability, Logistic, and Supportability.

During his professional life, PO has been focusing his work to improve the performance of existing assets. For example, to increase the performance of railway networks through optimisation of operation and maintenance of railway systems. He has been focusing on developing effective and efficient maintenance methods that will lead to increase system availability at the lowest costs leading to overall improvement in performance of system/assets. He has been involved in preparation of research applications and its execution of EU Framework research programs: FP6 & FP7 and H2020. He has been an adviser for AURIZON (former Queensland Rail) in Australia, in their strategic work on setting up Rail Corporate Research Centre (Rail CRC).

He gives several key-notes at different conferences around the world every year. He has been awarded several best paper awards. PO is also been acting as Chairman of European Lubricating Grease Institute (ELGI) Railway Lubricants Working Group (RLWG) on today’s user requirements, standards and guidelines for the wheel/rail interface with focus on KPI’s. He is Director, Secretary, and Coordinator of Sweden-Norway-Finland, Nordic Heavy Haul Association. A Scandinavian non-governmental, scientific and technological association of heavy haul railways. He is Director of International Heavy Haul Association (IHHA). A world-wide non-governmental, scientific and technological association of heavy haul railways and their advocates, State of Missouri, USA. Member of the working group on Transport 2030, The Royal Swedish Academy of Engineering Sciences. He is also a member of VTI (Transportforum) committee for Railway Technologies and Rail Traffic Planning and Operation in Sweden.

20170817

Big Data in railway operations and maintenance

Read about  the possibilities of big data in the Railway industry and it's positive effects on operations and maintenance.


Follow this link:

www.globalrailwayreview.com/article/61515/big-data-railway-operations-maintenance/

 

20170629

E365 delivers decision support for preventive maintenance

eMaintenace365 has been assigned to the Project Samverkan Digital Järnväg (Collaboration Digital Railway) to develop and implement a decision support solution that contributes to improved robustness and timeliness of the rail transport system. The project includes the part of the swedish railway network Uppsala – Sundsvall - Umeå. Other participants in the project are SJ, Tåg i Bergslagen, Swedish Transport Administration, Luleå University of Technology, Infranord, Outflight and Xlent. E365 will deliver a decision support which will focus on the practical application of the developed solution for condition assessment of interface wheel-rail.