Preston Johnson

Platform Lead, Intelligent Monitoring, Allied Reliability

Preston Johnson is a Platform Leader for Intelligent Monitoring at Allied Reliability Group (Allied), with a technical focus on condition monitoring technology and systems. Preston builds on 28 years in industrial instrumentation at National Instruments, 15 of those in Condition Monitoring Systems, and draws from his broad functional background in people and project management, technical and domain expertise in asset monitoring applications, and business development to create and implement comprehensive business strategies for new product development, market introduction, and growth. At Allied, he works with the business development teams to deploy condition monitoring systems and services, reliability solutions, training, and hardware/software systems that improve machinery uptime, reliability, and ultimately, production capacity. Prior to joining the Allied team, Preston held roles in Applications Engineering, Field Sales, Sales Management, Product Marketing, and Business Development.
Throughout his career, he has enjoyed interactions with prospects and customers solving both technical and business issues by leveraging process, practice, and technology, including signal processing and statistical/predictive analytics. Preston’s specialties include condition monitoring systems, signal processing, prognostics, big data infrastructure, and systems engineering.
Preston has delivered over 35 papers and presentations at technology conferences and serves on the Board of Directors at the Society for Machinery Failure Prevention Technology. He holds a Bachelor’s of Science in Electrical Engineering and Computer Science from Vanderbilt University and a Master’s of Business Administration in Information Management Systems from the University of Texas at Austin. He is also a certified Category III Vibration Analyst and Certified Maintenance and Reliability Professional.

Tell Us Something Interesting:

Industrial Innovation Platforms for maintenance and reliability have a lot to offer. Building from proven domain expertise and laws of physics greatly enhances the results. I am working to embed this expertise into Allied's SmartCBM offerings.

Session Track: Industry 4.0 (Digital Manufacturing)

Tuesday, June 11 1:15 PM - 2:00 PM 106

IN102CA - Jump Start Your Digital Transformation with A Failure Mode Approach to Predictive Maintenance

Today, manufacturers must ensure high equipment productivity and low operational costs. Predictive Maintenance offers some of the largest ROI opportunities of IIoT. Comprehensive IIoT platforms combine decades of domain expertise with connectivity to equipment, people, expert systems, machine learning, augmented reality and more. With IIoT we connect systems and people together yielding higher visibility, and insight into best strategy for equipment productivity. Equipment and processes continue to fail as physical, chemical, and environmental parameters wear and change. When we map failure modes of our equipment and processes to physical machinery, operating process and environmental parameters, we detect changes that lead to equipment and process failure. We predict failure and prevent failure before it occurs. We jump start our digital transformation for predictive maintenance. Hear how.

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