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Annual Conference

Track 7: Emerging Technologies (IIoT, Artificial Intelligence, Automation, Cyber Security)

Tuesday, October 23

Time   Session
9:45 AM 10:45 AM

Addressing Culture Change in IIoT and AI Projects

Blair Fraser, CMRP, Lakeside Process Controls
Audience Level: Intermediate

It is said that many reliability improvement programs fail to achieve sustainable results. With the rapid development and deployment of the industrial internet of things (IIoT) and artificial intelligence (AI), it is important to consider how to incorporate people into the development and deployment of these solutions. This presentation will review how people, as domain experts, play the biggest role in developing IIoT and AI solutions.

11:00 AM 12:00 PM

IoT: Dealing with the Newest Threat

Alan Berman, Disaster Recovery Institute Foundation (DRI)
Audience Level: Intermediate

While there is a great deal of concern over cyber-terrorism and the effects it has on everything from our financial security to creating political upheaval around the globe, the most prevalent and conceivably most dangerous devices are often overlooked. Internet of things (IoT) devices number more than 26 billion and control almost all aspects of our personal and professional lives -- everything from controlling vehicles, providing a climate-controlled work environment to monitoring our activities. This presentation will explore real-life incidents and measures we can deploy to provide safeguards.

1:15 PM 2:15 PM

Digital Line of Sight - Enabling Operational Excellence for Asset-Intensive Organizations 

Aaron Beazley, Bentley Systems
Audience Level: Intermediate

Line of sight aligns the entire organization on achieving the same strategic goals, connecting the strategic asset management plan with operational and maintenance activities. Digital line of sight is the backbone of a good asset management system. Digitalization connects as-designed, as-built and as-operated information to the digital twin to enable visual decision support.   Capturing, visualizing and managing the complete asset lifecycle, workers are more productive and can make informed and timely decisions knowing the reason they are doing the activities they do on a day-to-day basis.  Learn the essential elements required to develop the digital line of sight.

2:45 PM 3:45 PM

An Original Equipment Manufacturers Journey Towards Predictive Maintenance

Ed Spence, Machine Instrumentation Group
Shannon Jelken, Emerson
Audience Level: Intermediate

The equipment hardware vendor can capture some of the value of condition-based monitoring (CBM) and predictive maintenance (PdM) by instrumenting their own equipment and applying predictive analytics to their own tribal knowledge as a step toward automated predictive monitoring. Machine characterization based on data engineering approaches are particularly well-suited for machines with more complex motion and those that do not rotate at fixed frequencies or operate in stressful environments. Other instrumentation obstacles include limited sensor options with relevant digital interfaces, limited bandwidth in existing control networks, the need for field data collection and other challenges.

4:00 PM 5:00 PM

Digitalization to Reduce Costs and Increase Efficiency

Paul Muir, Mobideo
Audience Level: Beginner

People are still necessary in asset-intensive industries. This presentation will work to explain what digitalization is and how it can be applied to teams of people performing maintenance and reliability activities. Standard mobile devices get the right information in the hands of your field teams. Management dashboards provide real-time visibility required to make the best decisions to keep your operator rounds, help with ‘run and maintain’ activities and ensure things are on time and on budget. Analytics capabilities allow you to measure and analyze performance, plan future activities based on hard data and capture and leverage best practices within your organization.

Wednesday, October 24

Time   Session
8:15 AM 9:15 AM

Machine Learning Playbook for Process Facilities

Phillip Garcia, PinnacleART
Walt Sanford, PinnacleART
Audience Level: Intermediate

A flurry of buzzwords has recently taken over the world of reliability – digital transformation, artificial intelligence (AI), cloud, industry 4.0, machine learning, Internet of Things (IoT) – the list goes on. Often getting lost in communication, reliability organizations lose a sense of clarity in what tactical steps they can make today in order to build for the future. While the general concepts described by these buzzwords have useful applications, the most relevant for immediate impact on reliability is machine learning.

9:45 AM 10:45 AM

How IIoT Improves Performance of Reciprocating Compressors

Edward Kelleher, Windrock Incorporated, An Apergy Company
Brian Howard, Windrock Incorporated, An Apergy Company
Audience Level: Intermediate

This presentation will explore how the Industrial Internet of Things (IIoT), artificial intelligence (AI) and edge computing improve the overall performance and reliability of reciprocating compressors in gas compression. It also presents results from three months of field data on a fleet of compressors.

11:00 AM 12:00 PM

“It’s in the Cloud”

Mark Hungerford, Leading2Lean
Audience Level: Intermediate

It’s clear the digital revolution has transformed manufacturing in previously unimaginable ways. We now have many systems that gather and process tons of data. It’s happening in all departments from maintenance to production, quality, payroll, etc. Unfortunately, many of these systems were implemented to solve a specific objective. They often perform that task well, but now companies are left with dozens of fragmented systems. Wouldn’t it be great if all of these systems spoke the same language? Let’s explore how cloud solutions bridge the gap between disparate systems and leverage your ability to analyze data and optimize your operations.

1:15 PM 2:15 PM

Data Science and RCM

Sarah Lukens, GE Digital
Matt Markham, CMRP, GE Digital
Audience Level: Beginner

The goal of this presentation is to describe practical opportunities for data science and discuss how data-driven analytics can be embedded in work processes to help reliability engineers start an asset performance management (APM) initiative. Data-driven analytics can address many limitations by executing traditional processes such as the potential to augment human subjectivity with quantitative observations, fuse partial information from different data sources into one workflow and present new meaningful ways to look at data. We describe practical opportunities for data science to augment traditional approaches towards creating effective asset strategies and provide a few case study examples.

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To develop and promote excellence in maintenance, reliability and physical asset management.

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Society for Maintenance & Reliability Professionals

3200 Windy Hill Rd, SE, Suite 600W
Atlanta, GA 30339