Maintenance & Reliability engineering: 2013

During 2008 I remember when I was searching information about the Certified Labview associate developer program in my country... in that time there was some problems with that certification due National instruments hadn't representative office for that activity.

After of callings and letters, finally I get all the information, was necessary to go to Brazil... the only country in south America with the enable program in that moment... off course I didnt the exam in 2008, but finally after of 5 years the program was implemmented in my country, I did the exam and... Finally I get my certification :).

I like very much the National instruments technology because is very easy to implement and test many complex system using their technology... so right now I'm happy because Im a certified Labview Associate developer, probably in the next few months I will be doing the CLD certification.

What are you waiting? The CLAD exam is waiting for you :)

http://www.ni.com/training/esa/

See yaa

Hi everybody, as you know I am Electronics engineer with a strong background in control systems, instrumentation and industrial automation and also I am finishing my masters degree in mechanical engineering, you know I love the mechatronics engineering and their role in the actual technical world,

today I want to show you some of the results that I found in my masters thesis project called, "Design, implementation and evaluation of a expert systems applied for failure analysis in mechanical elements" (Axis, gears, bearings and boilers), in that thesis project I´m comparing three different inference engines as a artificial intelligence strategy for diagnosis and interpretation:

The finish document is here http://www.bdigital.unal.edu.co/45143/
And here there is a paper (you can download for free the pdf for the next 50 days) about this work published in the engineering failure analysis journal Science direct.
http://www.sciencedirect.com/science/article/pii/S1350630715001089

1. Clasic inference engine: based in modus tollens and modus ponens rules.

2. Fuzzy inference engine: Based on a previous comparation between sugeno and mamdani inference engines.

3. Bayesian inference engine, based on bayesian networks.

The system that I developed for axis has got 4 modules:Fracture, corrosion, wear and plastic modules.

Acordding to the different test that I did, I am very surprised because the bayesian inference engine have been the better behavior compares with the clasic and fuzzy inference engine, is amazing how the system solves complex cases of interpretation of evidence in many failure analysis process, Im using a lot of failure analysis cases from the National University of Colombia (AFIS group have been resolved cases for many industries like Oil & gas, automotive and complex heavy industries).

At the end of my thesis ,probably 2 months, :)I will post the final results, this research project also could be implemented in other engineering fileds (instrumentation, automation and control systems) with amazing results.

I think that in the near future the applied cibernetics as artificial intelligence will be the win ticket for many companies thart spend a lot of money and time designing experts systems for their engineering optimization, honestly I think that artificial intelligence is the future for those industries.

Do you want to see a print screen of my system?

1. An example of bayesian network just for fracture module in axis:

2. Take a look around of the wear module, few questions are necesary to identify the failure mode, based in the knowledge base:

3. After of the analysis according to the evidence for example for adhesive failure wear mode the system shows the following fault three analysis FTA.(for more information of FTA analsysis read the certified realiability engineer handbook)

The GUI was developed using Matlab/Simulink GUIDE (Bayesian and fuzzy) and C#+Amzi! Prolog (clasic inference). The work has been hard.

The most interesting result in this research masters project is the integration of a lot of my passions in one project as Electronics engineering, mechanical engineering, software develop and control systems, maintenance and reliability knowledge...

Some Oil & Gas companies are interested to implement this system in those industries for interpretation and diagnosis in their specific process (alarm management, Safety Instrumentation systems, control systems), I will be waiting for new challenges :)

Maintenance & Reliability engineering

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Happy new year 2014

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Increasing Accuracy in Lubrication Testing

Finally I get my CLAD National Instruments certification

Experts systems and artificial intelligence applied to interpretation and diagnosis in complex mechatronics systems