Predictive maintenance transforms plant operations by reducing downtime, optimizing maintenance schedules and improving asset management. Advanced sensors, when coupled with data analytics that are increasingly driven by AI, ensure that manufacturers are getting the best ROI out of capital investments and maintenance programs.
Overview
Predictive maintenance is a game-changer in modern plant operations, primarily due to its ability to avert equipment failures before they occur. By leveraging real-time analytics tools, organizations can monitor machinery and systems continuously, analyzing data such as vibration levels, temperature and operational loads.
This not only minimizes unplanned downtime but also extends the lifespan of equipment, as maintenance activities are conducted based on actual wear and tear rather than arbitrary intervals. For instance, predictive maintenance can identify a potential issue with a pump bearing well before it fails, allowing for timely intervention that prevents costly production stoppages and equipment damage.
Real-time analytics platforms utilize advanced algorithms and machine learning to process vast amounts of data collected from sensors and IoT devices, providing actionable insights into equipment performance and health. By integrating these advanced analytics tools, plants can transition from reactive to proactive maintenance strategies, leading to improved overall efficiency and a more resilient operational framework.
Key Takeaways
- Learn how predictive maintenance operates, including its reliance on real-time analytics to monitor machinery and detect potential failures before they occur, thereby enhancing plant operations
- Discover how advanced algorithms and machine learning in real-time analytics platforms help process data from sensors and IoT devices
- Compare and contrast different maintenance strategies to better understand if your organization is ready for a predictive technique
Speakers
Over the past 34 years, Dean Phillips has been a leader in the technology sectors and the world of smart manufacturing. His is a continuous advisor to the smart manufacturing advisory committees with Society of Manufacturing Engineers and PMA Precision Metalforming Association. Phillips has been a speaker on IoT, AI, robotics, VR and AR. He is the creator of reality safe, a VR / AR safety training solution for manufacturing, working with Purdue. Phillips has spent the majority of his time advancing IoT, maintenance and safety to be more predictive and develop outcome based solutions. He has been on the board of directors for SME and an advisor for TTU, MTSU and TCAT. He has been a contributing lecturer on big data and it’s value and need for artificial intelligence to filter the information into actionable items. Phillips provides safety and development to cobot users and assists universities to outline expectations from manufacturers.
Benjamin has spent 16 years designing and manufacturing engine bleed air systems in the aerospace industry. Over this time, he helped grow the manufacturing and design capability through incremental process improvements, including physical and digital automation. At AMT, he oversees the technology research arm and is responsible for assessing the manufacturing industry on cutting-edge technologies. Through this research, he provides content and direction to the manufacturing technology creators within the US. Automation is poised to be the next pivot technology to grow US-based manufacturing.
Ryan Treece, Global Business Development Manager - Data Platforms & AI Solutions at FreeWave Technologies, brings over 15 years of experience in Industrial Automation and Manufacturing. In his role at FreeWave, Ryan is leading efforts to develop predictive maintenance and AI turnkey solutions for remote and critical assets and infrastructure. His career includes pivotal roles at industry leaders such as Telit Cinterion, Keyence, Cognex, and Banner Engineering, where he spearheaded innovation in machine vision, Industrial IoT Software, and sensor technologies. Ryan also serves as Chair of the Cloud & Edge Technical Committee for ISA's Smart Manufacturing & IIoT Division and is a Co-Founder of the Industry 4.0 Club, a non-profit advancing manufacturing technology. His extensive expertise in leveraging cutting-edge solutions makes him a key resource for those navigating the future of industrial automation and smart manufacturing.
Roncevic is a Manufacturing and Quality Control (QC) Digital Systems developer with 8-plus years of experience, developing advanced software solutions in the field of industrial metrology AI models, process monitoring and data science. He career as a project manager in an automotive foundry. Roncevic planned, supervised, and instituted various manufacturing processes from the concept and quotation stage to the serial production. Roncevic was employed in a high-paced startup environment as a mechatronics engineer, where he developed robotics perception systems. Afterwards, he transitioned to a software company as a manufacturing software engineer for a cloud based product. Today, he is founder of Calibras, which provides state of the art manufacturing QC software solutions, tailored with the factory ecosystem in mind.
Todd Montpas is responsible for Rockwell Automation’s Data, Analytics & Industry Applications portfolio supporting our customer’s Digital Manufacturing Initiatives. With more than 30 years of experience helping customers improve their manufacturing and business processes, he is focused on working with our customers to realize positive business outcomes.
Introducing Mike Bubolz, a product developer and founder of EISEN DEV, a Milwaukee-based agency specializing in turning innovative ideas into reality. With an insatiable curiosity for new technologies and a deep commitment to empowering start-ups, Mike has helped companies around the world build hardware that delights users and drives growth. Known for his practical insights and experience in automation, product development, and manufacturing, Mike brings a unique perspective to leveraging technology to streamline processes and boost productivity.