My Journey Around The World

September 2019


The RCM is the first step of Maintenance Plan that starts in design phase: What´s the Journey from RCM to Asset Management maintenance plan?


Download
The Jorney from RCM anaylsis to Asset management
The journey from RCM analysis to asset M
Adobe Acrobat Document 899.6 KB

ECC training 2019: RAM analysis for process and Oil and Gas Industry at 17th -18th October Istanbul, Turkey.



August 2019


How to predict the future failures of aged asset during decommissioning phase ?


Download
The RAM Analyis 10 steps for aged equipment during decommissioning phase prediction
The RAM analysis 10 steps decommission.p
Adobe Acrobat Document 1.4 MB

Asset management applied to Building Facilities methodology


Download
Asset Management applied to Utilites, Building, Shopping, Airport, Health Care Systems
Asset Management for Physical assets of
Adobe Acrobat Document 1.5 MB

July 2019


Case1 -RAM analysis applied during design phase: The Oil platform case study

One of the most important decision during a Oil and Gas platform design phase is to define the Platform configuration to define the level of redundancy and reliability requirement for the critical equipment. In addition, it´s very important to consider the preventive maintenance influence in platform reliability equipment ´s performance. Please find attached the complete paper.

Download
RAM analysis during design phase - the b
Adobe Acrobat Document 371.6 KB

Case 2 -RAM Analysis applied for Subsea system Maintenance and spare part optimization


 

In order to support the asset high performance achievement throughout the life cycle the paper will demonstrate the optimization methodology based on Dynamic Programming Algorithm integrated to the apmOptimizer software which enable to predict the asset performance, such as production efficiency, operational availability, reliability and also take into account the asset configuration, maintenance, inspection policies to minimize the life cycle cost.

Download
Please check the full paper here
EuroMaintenance2016_Full_Paper_template
Adobe Acrobat Document 1.0 MB

Please check the RAM analysis presentation below


June 2019


RAM Analysis training for Process Industry: 12th and 13th August 2019, Munich, Germany.(Language: English)


 

The RAM analysis is applied to whatever physical asset and the main objectives are:

 

1 - To predict the System/equipment/component performance such as production Efficiency, operational availability, reliability, expected number of failures, expected number of Preventive maintenance, expected number of inspection, Life cycle cost.

 

2 - To identify the system critical equipment and/or equipment critical component and their impact on system/ equipment operational availability and reliability.

 

3 - To predict future system performance based on planned plants modifications, different spare part policies, different preventive maintenance plan.

 

4 - To Analyse the impact of the spare part policy in the system performance (operational availability)

 

5 - To Analyse the impact for preventive maintenance  in the system performance (operational availability)

 

6 - To define the optimum time to perform preventive maintenance concerning the impact of life cycle cost and performance (operational availability)

 

7 - To define the system configuration during design (level of redundancy vs reliability target).

 

8 - To define the equipment reliability target to enable the system to achieve the reliability target. That is the basis for the warranty contract with equipment vendors. 

 

PS: Go to the link below to check the ECC training calendar in Germany

 


RAM Analysis training: 19th - 20th August, Vienna, Austria (Language: English)


 

The RAM analysis is applied to whatever physical asset and the main objectives are:

 

1 - To predict the System/equipment/component performance such as production Efficiency, operational availability, reliability, expected number of failures, expected number of Preventive maintenance, expected number of inspection, Life cycle cost.

 

2 - To identify the system critical equipment and/or equipment critical component and their impact on system/ equipment operational availability and reliability.

 

3 - To predict future system performance based on planned plants modifications, different spare part policies, different preventive maintenance plan.

 

4 - To Analyse the impact of the spare part policy in the system performance (operational availability)

 

5 - To Analyse the impact for preventive maintenance  in the system performance (operational availability)

 

6 - To define the optimum time to perform preventive maintenance concerning the impact of life cycle cost and performance (operational availability)

 

7 - To define the system configuration during design (level of redundancy vs reliability target).

 

8 - To define the equipment reliability target to enable the system to achieve the reliability target. That is the basis for the warranty contract with equipment vendors. 

 

PS: Go to the link below to check the ECC training calendar in Austria 


Prognostic Health Management (PHM) based on AI solution for railway applications


 

The Prognostic Health Management (PHM) aims to prevent such corrective action, incident and accident by monitoring the physical asset condition and alert in case of physical asset deterioration or degradation stage. Such methodology relies on sensor information input as the basis of the prognostic. Therefore, PHM had the advantage to provide constant health conditions state about the physical asset rather than the schedule preventive maintenance or NDT that also detect the physical asset degradation, but in a specific period of time.

 

Based on Artificial Intelligence (AI) concept, it´s important to have a PHM that´s is adaptative to the new data collected by sensors along time and enable to update the health condition prediction based on pre-defined algorithm.

 

The PHM based on AI is a very good solution to prevent incidents and new technologies have been developed in the last five years that looks very promisor for the near future for different industries such as railway as shows the figure 1.

 

Basically, the PHM system presented in figure 1 encompasses two rugged RotoSense wireless sensor modules packaged for standard mounting on the wheels of a rail car or locomotive axle, one Sentinel Gateway wireless data collection hub, to collect and store RotoSense data and the RailSafe Toolbox, including the necessary software packages to set up and operate the RotoSense sensors and the Sentinel Gateway, and to extract and display diagnostic and prognostic information based on RotoSense data.

 

The sensors are mounted on each end of an axle, right where the wheels and track meet, the three-dimensioned microelectromechanical systems (MEMS)-based instruments continuously capture wheel and track vibration data with maximum sensitivity.

 

Finally, the data are analysed using the RailSafe Toolbox, including the Adaptive Remaining Useful Life Estimator™ (ARULE™), which has been proven in aerospace and industrial condition-based maintenance (CBM) systems.

 

The PHM relies on sensor information input as the basis of the prognostic, which has some application limitation in the case of rolling stock in the railway industry such as the vision-based and multi-camera high speed imaging unit to take multiple images of every brake shoe for inspection and measurement., which is limited by the train velocity.

ECC website now is translated to five languages to easier understanding from our Partners and Clients



Think always in Reliability First !


Reliability First ! Please go to the ECC website link to understand the RAM Program implementation steps and methods before to implement The asset management program.

ECC become member of the Swiss Association of Facility-Management (fmpro)


ECC in Switzerland since 2018:

In 2018/2019 ECC support Hünnemeyer Consulting to implement the Integrated Logistic Support program concerning different reliability and maintenance methods such as RBD, FTA, FMEA, MAintenance analysis. Such method were implemented for all critical train system. ECC focus on Bogie, Pneumatic System, Fire Protection System and Passenger Information System.

ECC become member of the Maintenance and Facility Society of Austria (MFA)


ECC in Austria since 2016:

  • In 2016/2017 ECC supported Molinari Railway (in Schwaz) with the APU (Auxiliary Power Unit) RAMS program for 1000 APU for Locomotive in India Railway.
  • In 208/2019 ECC supported AMST in Ranshofen by review the RAMS Program for the Flight Simulator product and defined the improvement actions to be implemented.

May 2019


ECC is very proud and happy to announce to have a new Partner in the field of Safety. ProSCon will support ECC with their Safety Engineer team and ECC will support ProSCon with Asset Management, Asset Integrity and Reliability.



ECC is very proud to have as a  new Partner The SGE in Dubai.


The SGE is the designer of the  Aladdin Software solution for Maintenance Management. ECC will provide the Aladdin across the globe for all potential client interested to managed a group of asset easily and efficiently. The Aladdin has been applied sucessfully for Management the maintenance of physical assets Utilities such as Hotels, Shopping, Hospitals,  Airports and other build facilities.  It can also be applied for different industries such as aerospace, railway, oil and gas and process.

Download
Aladdin software brochure
SGE Aladin Brochure.pdf
Adobe Acrobat Document 318.8 KB


ECC is very happy to have our new partner Astrindo Convex for training in Indonesia


April 2019


ECC is very proud for the results of Indonesia Maintenance 4.0 in Jakarta Indonesia



ECC video presentation at ARDC 2019 - Berlin: “Human Reliability Analysis Methods and Real Case Applications: How to Apply Human Factor in Reliability and Safety Analysis”


Please click in the videos below to see the presentation that is divided in four parts


March 2019


SMRP Solution Magazine: January 2019


Download
SMRP Solution Vol 14 - Issue 1
SMRP Solutions Vol 14_Issue 1_Digital.pd
Adobe Acrobat Document 7.4 MB

ECC now has the patent of all material published in our website, books, training material, logo and company name


February 2019


ECC is very proud to support the RAMS program Implementation for the Flight Simulator System

January 2019


ECC has a pleasure to deliver the first in House training for railway Industry in China.


Together with our Partner Qinda technology in China, We started our first project in China in 2019. The Project objective is to support the RAMS program implementation. The first step was to deliver 40 hour training including RAMS program, FMEA, Life Time Data Analysis and RAM analysis. The next step is to review the current RAMS procedures and deliver  new procedures.