Welcome to ECC News 2020!

June 2020


New Book : Artificial Intelligence  for Maintenance 4.0. Author: Dr. Eduardo Calixto (ECC)


Check the Book index

Download
Book Artificial Intelligence for Maintenance 4.0
Book - Artificial Intelligence for Maint
Adobe Acrobat Document 291.6 KB

EC AI: Web seminar on 02-07-2020 at 10 am. "AI Deep Learning Methodology: The Convolutional Neural Network applied for Remaining Useful Life image Classification."


Abstract: The advent of Industry 4.0 introduced new methods for maintenance that enable faster and reliable use of data for classification. The so-called “Convolutional Neural network” can be applied for classification and regression. Concerning classification, the use of images can be applied to train and test  a model to classify similar images such as equipment failure during production, wrong assembly, equipment failure or degradation during operation or even detect critical degradation pattern based on Remaining Useful life (RUL) and/or State of Health (SoH) graphs figures. In order to apply the CNN methodology is necessary to collect a set of pictures that aims to classify in the future application based on CNN structures. This paper aims to explain the principle of CNN applied to RUL alert when equipment/component achieves a critical level of degradation.

 

 

Key Word: Remaining Useful Life (RUL), Convolutional Neural network(CNN), Convolutional Layers, RELu, Pooling layer, Softmax. 

Download
Click here to read the paper
AI Deep Learning Methodology The Convolu
Adobe Acrobat Document 725.5 KB


EC AI: Web seminar on 25-06-2020 at 10 am. "AI Machine Learning Methodology: The Neural Network applied for Critical equipment classification and RUL regression."


Neural Network: Classification


Neural Network: Regression




ECC Online Training Program for Process Industry: Asset Management and Reliability Engineering program


Training Modules: Asset Management, Asset Integrity Management, Reliability Program, Lifetime Data Analysis, RAM Analysis, FMEA/RCM, Safety Process: Risk Managemetn and Anaysis.

Online program Outline

Download
Online Program Brochure with complete information
Onine Training Program 2020 for Process
Adobe Acrobat Document 1.7 MB

Go to  the link to apply for the online training now

book reference



ECC Online Training Program for Railway Industry: RAM and LCC Engineering program


TRAINING MODULES: RAM and LCC program implementation (Based on EN50126), LIFETIME DATA ANALYSIS, RAM ANALYSIS, FMEA/RCM.

ONLINE PROGRAM OUTLINE

Download
ECC Online program brochure
Online Training Program 2020 for Railway
Adobe Acrobat Document 1.2 MB

GO TO  THE LINK TO APPLY FOR THE ONLINE TRAINING NOW

book reference


May 2020


Instandhaltungs Tag at 01-03 Sep 2020


ECC is very proud to have Dr. Eduardo Calixto Article "Reliability 4.0 and FRACAS 4.0“published in the MFA ( Austria Maintenance Association) Book 2020. This paper describes part of our software solution Integrity PRO for asset management 4.0.

 

Please check the link to MFA to get also the complete book with another wonderful articles and to know how to attend the MFA conference Instandhaltungs Tag at 01-03 September 2020.


Download
MFA BOOK 20202 - Dr. Eduardo CAlixto Article
IHT20_Jahrbuch_Eduardo Calixto Consultin
Adobe Acrobat Document 2.2 MB


ECC AI: "AI applied to Maintenance 4.0: Supervised Machine Learning Regression applied to PHM " - Web seminar On 27-05-2020 at 10 am (CET)


free of charge

EFNMS KPIs Benchmarking Survey


Download
EFNMS Survey Brochure
efnms-kpi-survey-2020.pdf
Adobe Acrobat Document 384.4 KB

April 2020


ECC AI for Maintenance 4.0 : The Principal Component Analysis (PCA) methods aims to reduce the number of variables from multidimension space to a one or a two-dimensional space and define the variables that more influence has in data variability. PCS  enable the Maintenance plan optimization

March 2020


ECC Oil and Gas Reliability and Maintainability Data Base Upstream: (Platform, Drill facilities and Subsea)


Download
Reliability and Maintainability Database
Reliability and Maintainability DataBase
Adobe Acrobat Document 237.5 KB

February 2020


More one Successful ECC In-company training "RAM Analysis for Process and Oil and Gas Industries" delivered to Bilfinger in Switzerland.


The advantage of In-company training are:

1 - Customised for you necessity

2 - Possibility to have a higher number of your employees in the training;

3 - No trip cost for your company, only the trainer go to your location;

4 - Special discount for each attendee.

 

 Contact ECC to have the in-company training.


ECC Distance Learning Program 2020 for Process and Oil and gas Industry: Asset Management and Reliability Engineering will start at 17-02-2020


ECC Distance Learning Program 2020 for Railway Industry: RAMS and LCC Implementation will start at 24-02-2020



ECC is now company member of the Portuguese National Maintenance Industrial Association


January 2020


ECC in the Maintenance 4.0 ERA: Physical Asset Management with Prognostic Health Management


Our solution for physical asset management Integrity PRO now is integrated with the ARULE (Adaptive Remaining Useful Life) software from Ridgetop. Such integration enable the following

  • To predict the remaining useful life based on sensor data (online monitoring);
  • To predict the sate of health of an equipment/component based on sensor data (online monitoring);
  • To send alert to maintenance specialist about equipment state of health;
  • To predicted the error of the expected remaining useful life and real remaining useful life;
  • To have a reliable and automatic adaptive prognostic health management solution for critical equipment.

ECC Oil and Gas Reliability and Maintainability Data Base: Onshore (Refineries, Petrochemical and Chemical Industries)


NOW AVAILABLE for access (the offshore database come soon)


Distance learning Program 2020 for process and Oil and Gas Industry

FROM 17-02- 20 TO  05-04-2020


the best seller book " gas and oil reliability engineering : modeling and analysis" in online training format explained by the author dr eduardo calixto


Training Agenda 2020 : Asset Management for Oil and Gas Industry (based on ISO55000):  23th -24th January 2020, Dubai, UAE.