Tridiagonal Solutions > Events > Digital Transformation, Oil and Gas, Predictive Maintenance > Predictive Maintenance: Improving Asset Availability through Digital Transformation
  • Predictive Maintenance: Improving Asset Availability through Digital Transformation

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  • 05/12/2023 - 10:00 am - 10:45 am EST
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  • Predictive maintenance has revolutionized the manufacturing industry by harnessing the power of data and advanced analytics to transform the way equipment and machinery are maintained. By continuously monitoring equipment conditions, analyzing data using machine learning, and deploying predictive models, manufacturers can foresee and prevent machinery failures before they occur. This approach minimizes costly downtime, extends the operational lifespan of assets, and streamlines maintenance processes. By optimizing maintenance schedules and ensuring timely interventions, manufacturers can reduce overall maintenance costs, improve product quality, and enhance operational efficiency, ultimately gaining a competitive edge in an increasingly dynamic and competitive manufacturing landscape. Join us for an insightful webinar where industry experts and data analysts will explore the potential of process data analytics examples of the predictive maintenance.

    Key topics to be covered include:

    • Preventing Costly Downtime

    In the oil and gas sector, the implementation of predictive maintenance for a vital gas compressor on an offshore platform involved comprehensive Performance Monitoring and Health Monitoring. By continuously tracking performance metrics with sensors and utilizing advanced Predictive Analytics and Anomaly Detection, the company could foresee potential issues. This proactive approach led to over $3 million in annual cost savings by preventing costly downtime and equipment failures, while also critically preventing safety hazards and environmental risks associated with high-pressure gas operations.

    • Quality Enhancement

    In a petrochemical processing facility, recurring issues with equipment reliability, specifically within the vital distillation unit, were causing production inconsistencies and quality concerns. Through the implementation of predictive maintenance and close monitoring of critical components such as distillation columns and heat exchangers, the plant achieved consistent and precise separation processes. This unwavering commitment to quality not only minimized production waste but also established the plant as an industry leader known for its rigorous quality standards, resulting in a notable reduction in product defects and a considerable expansion of market share.

    • Energy Efficiency and Sustainability

    In a manufacturing sector, the integration of predictive maintenance into critical cooling systems, including condenser fans and heat exchangers, emerged as a game-changer for energy efficiency. By continually analyzing data from temperature and flow rate sensors, the system optimized cooling rates based on real-time demand, significantly reducing energy consumption. The company’s dedication to sustainability and energy conservation not only earned accolades but also attracted new business from environmentally conscious utility companies seeking cleaner and more efficient solutions.

    • Worker Safety and Asset Longevity

    A heavy machinery manufacturer implemented predictive maintenance for its industrial stamping presses, crucial for producing parts for various industries. By closely monitoring equipment health, the system detected a potential issue with a press that could have led to a catastrophic failure. Swift maintenance not only prevented an accident that could have endangered workers but also extended the life of the press, saving the company $250,000 in replacement costs.

    A few of the use cases to be covered on predictive maintenance:

    1. Wet Gas Compressor
    2. Reciprocating Compressor
    3. Pumps
    4. Heat Exchangers

    And more

    Who should attend:

    CIOs, CEOs, CTOs, Operations/Process Head, Data Analysts/Scientists, Visualization Engg., Data Engineer, Digital Leaders, Plant Head, Maintenance and Reliability Managers, Operations and Production Managers, Plant Engineers and Technicians, anyone with a keen interest in elevating operational efficiency and saving costs through Predictive Maintenance.

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    Predictive Maintenance: Improving Asset Availability through Digital Transformation

    5/12/202310:00am EST1.0833333333333 hours

Pravin, one of the five members of Board of Directors in Tridiagonal Solutions has proven his expertise in creating, positioning and managing high growth companies. Mr. Jain has completed his Bachelors in Computer Engineering from University of Mumbai and Masters in Computer System Engineering from Northeastern University, Boston. He has also completed the Executive Program for Growing Companies at Stanford University Graduate School of Business. He has over 17 years of experience in Technology Entrepreneurship, Business Development and Delivery of Customer Centric Solutions. Pravin’s experience includes acquiring as well as divesting companies. Pravin lived and worked for 14 years in the US, and shifted back to India in the summer of 2006. He has driven, and been accountable for Sales, Marketing, Technology, Delivery and Strategy functions at his previous ventures. Pravin’s previous company grew by over 40x in 6 years and was subsequently divested to Wipro.

Ashish heads the software development activities at Tridiagonal Solutions. He has Post graduate degree in Fluid Mechanics and Thermal Sciences from IIT, Kanpur. Ashish is also a founder member of Tridiagonal and his interests include Computational Fluid Dynamics, Turbulence Modeling, Technical Training and Mentoring along with Open Source Software Development. Before founding Tridiagonal, Ashish worked with Fluent for seven years where he looked after product management responsibilities for Catia and FlowLab products.

Dr. Damodaran Vedapuri heads the North American Operations of Tridiagonal Solutions. He obtained his doctorate from Ohio University. Dr. Vedapuri has wide experience in Computational Fluid Dynamics, Flow Accelerated Corrosion and solving Multiphase Flow Problems of interest to the oil and gas industry. Before joining Tridiagonal, he was employed with SwRI, a premier research lab in the US and at Fluent Inc.

Dr. Damodaran Vedapuri heads the North American Operations of Tridiagonal Solutions. He obtained his doctorate from Ohio University. Dr. Vedapuri has wide experience in Computational Fluid Dynamics, Flow Accelerated Corrosion and solving Multiphase Flow Problems of interest to the oil and gas industry. Before joining Tridiagonal, he was employed with SwRI, a premier research lab in the US and at Fluent Inc.

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