In this Storage Terminal Reliability podcast, Emerson Expert Carlos Matos, highlights the true cost of not being proactive (thousands of dollars per day) on shutdowns and repairs and provides how there are now innovative technologies like Plantweb Insight that can help you utilize the latest Industrial Internet of Things (IIoT) technologies to monitor your equipment and provide maintenance for your unique process.
Solids production in the gas industry remains one of the main challenges that needs to be addressed to avoid integrity issues or loss of production. Implementing the appropriate monitoring technology helps improve maintenance routines and increase safety.
Tinh Phan shares some ways manufacturers and producers can address some of the long lead times that they may be experiencing from their suppliers with regard to instrumentation and automation by incorporating predictive maintenance strategies.
Reliability of assets used in the manufacturing process is paramount for safe, efficient and effective operations. Unplanned asset failures, improper asset performance, poor maintenance planning, and untimely follow-through can cause shutdowns, under-utilized production equipment, deviations, or material/product losses.
In a series of storage terminal reliability podcasts, Emerson experts will share ways that safety, environmental and operational risks can be mitigated. Emerson’s Manuel Arroyo, Director, Oil & Gas Industry Programs kicks off this podcast series by highlighting some of the risks & challenges and previews some of the technologies that can help these terminals improve reliability, safety, environmental compliance and terminal operations.
Advanced automation technology from Emerson is helping to solve a range of solids level measurement challenges at a large lime processing plant in the US. The need to reduce costs and increase operational efficiency is driving greater adoption of automation...
Much of our vibration analytics today are still based on Fourier Transform which analyzes complex vibration by superpositioning a variety of sines and cosines waves of different but related frequencies.
Podcast host Jim Cahill is joined by Emerson’s Michael Tworzydlo to discuss the role of operational analytics to ensure operational health and optimize plant-wide performance by detecting abnormal behavior of processes and assets, identify root causes of problems, and predict future performance.
The asset health parameters across the plant can now be collected, stored, and fed real time into software algorithms. The software then processes and analyzes the data, turns it into actionable insights accessed by maintenance engineers. Depending on the criticality can be passed on for further processing and approvals, through desktops and mobile devices.
Transition from Reactive to Predictive Data analytics is a critical enabler of digital transformation, making it possible for numerous industries—power generation among them—to shift how they operate and become more efficient and agile and, consequently, more...
Success must be supported so it can be sustained. As Chris Jensen and H.P. Slater discuss in an article in the July issue of Process Heating, this line of thinking is no less true in predictive maintenance (PdM) than in anything else. Some companies are impressed with...
Alessea Lane discusses how operational technology can be made highly accessible by breaking down the silos in which they live and turning data into actionable information that’s available to the right people at the right time to drive transformational performance.
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The opinions expressed here are the personal opinions of the authors. Content published here is not read or approved by Emerson before it is posted and does not necessarily represent the views and opinions of Emerson.