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Webinar Notice March 14, 2023 10-11 AM EST, Role of IoT and Machine Learning in Predictive Maintenance, By: Hossein V. Farahani CAT IV, Predictive Maintenance Supervisor , St Mary’s Cement
Reducing Tribological Losses and Failures – Part 20 Workshop
Register & Submit: This is free and open to all, but you have to register to be sent the link.
STLE
TORONTO SECTION
2022
Fall and 2023 Spring Program
Please register here:
Toronto Section Chair’s Welcome
On behalf of STLE Toronto Section, I would like to welcome you to our 2022-2023 program. Starting two years ago, STLE Toronto held several education webinars on-line and we will continue until we will have a safe environment for our attendees.
Our focus will be “cost savings” and / or “manufacturing cost reduction” based on better lubrication, better practices, and / or automated data gathering and processing. These helpful webinars will educate and empower attendees to contribute more to the company through these tough times.
We welcome you all to participate in the program and hope that you can attend. Suggestions for webinars are welcome.
Behshad Sabah P.Eng. CLS, OMAI, II , CAT I,II
STLE Toronto Section Chair. 2022-2023
Program:
Our technical program over the last few years was based on half day in-person workshops featuring 5-6 speakers. This worked well but with the current concerns about the Covid 19, we are adapting. A short survey determined that the most popular was a talk 30-45 minutes long, on one topic, and held mid-morning. We are also going with live video audio webinars which allows our participants to attend from wherever they are working and there is no time lost for travel. Plus, questions can be submitted in advance or during the presentations. As before we are focusing on technologies that can help save your company resources. This can be better as it might help tribological products last longer, save energy, reduce waste, and/or increase productivity. Win, win, win!
The STLE Toronto Section uses events like this to help spread the word and also to raise funds. These funds are used to support the section activities and to provide donations and assistance to local universities and colleges. No money raised goes to salaries or expenses.
Sep 20, 2022: Rolling Bearing Damage and Failure Analysis: A Snapshot; By Devan Devalia – SKF Canada
Oct 11, 2022: ‘Food Grade Lubricants – an Overview: By Behshad Sabah P.Eng CLS, OMA I,II – HF Sinclair -Petro Canada Lubricant
Nov 11 2022: ‘Ageing & Reconditioning Of Oil: The Tribological Perspective’, Sassan Hojabr, SKF RecondOil Technical Manager
Jan 10th, 2023 , Engineered Bearings and Industrial Motion Components, By: Ryan D. Evans, Ph.D. | Director – R&D, TIMKEN USA
Feb 14th, 2023. ‘Operational Savings Using Calcium Sulfonate Grease’ , Frank J. Hayes, CLS, CLGS, MLA-I, MLT-I, OMA-I |CITGO Petroleum Corporation
March 14th 2023. Role of IoT and Machine Learning in Predictive Maintenance . By: Hossein V. Farahani CAT IV
Titles might change, but topic will be the same or very similar. Suggestions for speakers to fill the gaps would be appreciated.
Webinar Notice March 14, 2023 10-11 AM EST, Role of IoT and Machine Learning in Predictive Maintenance, By: Hossein V. Farahani CAT IV, Predictive Maintenance Supervisor , St Mary’s Cement
Abstract:
The IoT and machine learning are key technologies in establishing the new generation of predictive maintenance programs. These technologies have provided us with wireless sensors, connectivity, predictive analytics, and visualization capabilities that are main pillars of a smart predictive maintenance. These four pillars will be explored in this webinar.
Biography:
Hossein V. Farahani CAT IV,
Predictive Maintenance Supervisor , St Mary’s Cement
Bio:
Hossein is a CAT IV vibration analyst and has more than 18 years’ experience in the field of fault diagnosis, integrated condition monitoring and reliability practices. His experience includes working in different roles such as program manager, vibration analyst, instructor, and consultant. Based on extensive involvement in different aspects of industrial equipment reliability and maintenance issues, he has a solid technical background in this area.
Hossein is an enthusiastic instructor and has taught more than 203 training courses. He also presented 21 technical workshops in different conferences related to condition monitoring and vibration analysis.