PWE October 2021

16 | Plant & Works Engineering www.pwemag.co.uk October 2021 Plant & Asset Management & Co-location Update With less than 6 months to go until the Plant & Asset Management Exhibition returns to the NEC, Birmingham (5-7 April 2022), ºPWE, the official media partner of the event, will be highlighting the latest exhibitor news and other show developments in every issue in the lead-up to the event. The countdown beings… Maximise data collection with whole system monitoring DCO Systems Ltd Stand: D26 Manufacturing strives to become a predictable process yet is often undermined by unexpected problems. And both time and money can quickly add up in attempt to discover the root cause. With machines and equipment working together, there are often unforeseen interactions within a process. DCO Systems offer a whole system monitoring approach that works to eliminate guesswork, pinpoint the true issue and maximise data collection. Taking on the bold approach of monitoring the entire system provides a clearer picture for engineers that fills in coverage gaps and reveals hidden problems. For the very latest show updates please visit: https://www.maintenanceuk-expo.com/ Simplified predictive maintenance SolutionsPT Stand: C16 SolutionsPT, the industrial IT solutions partner and AVEVA distributor for UK & Ireland, together with Schneider Electric, have announced a machine learning deployment, for the UK’s Coal Authority. The first implementation of AVEVA Guided Analytics, a feature of its AVEVA Insight software, is set to help automate data analytics for 75 pumps spread across 50 locations and enable multi-site predictive and preventive maintenance. The project, which will take advantage of the inbuilt machine learning capability of the Guided Analytics function, removes the need for bespoke coding solutions to compare asset performance against historic data and significantly reduces the time and expertise required to deploy a solution capable of offering insights to inform data- driven maintenance improvement. Meeting the needs of the Coal Authority without the use of the Guided Analytics technology would have been a huge undertaking, given the ever-growing dataset at each geographically spread asset. Operators from an Operational Technology (OT) or IT background can set machine-learning models in just a few clicks, this immediately starts to compile historic data sets for comparison with live data for an accurate, real-time, review of anomalies and asset performance. With a user-friendly and customisable interface making it simple to identify assets and sensors, further parameters, such as performance over a set timeframe can be made available to operators without extensive training, reducing the cognitive workload of engineers and managers alike. Using a cloud-based asset library, users can leverage the machine learning capability to generate predictive models, failure modes, fault diagnostics and remediation maintenance plans, and can even create condition-based alerts that inform prioritisation of maintenance scheduling. Condition monitoring equipment order to help mechanical condition of critical equipment SPM Instrument UK Stand: B14 British public utility company Severn Trent Water has placed an order for thirty-eight Leonova Emerald data collectors and more than one thousand shock pulse adapters to monitor the mechanical condition of critical equipment in its wastewater treatment sites. The Severn Trent Asset Care team was looking to find a condition monitoring solution for their RBC (Rotating Biological Contactor) bearings, where neither ultrasound technology nor other condition monitoring suppliers could provide conclusive answers concerning bearing condition. The RBCs are the first stage of wastewater and sewage treatment in remote areas, designed to remove most of the organic matter from the sewage. The RBC is a rotating pack of disks with biological growth attached to the disc surfaces, forming a slime layer that supports the growth of bacteria and micro-organisms present in the sewage, thus breaking down and stabilising organic pollutants. A six-month pilot with Leonova Emerald proved that the shock pulse measurement technology could detect early warning signs of damage, insufficient lubrication, and incorrect installation in the low-speed RBC bearings (1 rpm). Incorporating patented HD condition monitoring technology, the high-performance Leonova Emerald instrument offers powerful analysis and troubleshooting features. For Severn Trent Water, this investment is the first step to enable the Asset Care maintenance engineers to gain better control over equipment condition and maintenance plans. The company ultimately plans to migrate from route-based measurements with handheld instrumentation to online systems. The plan is to use the instruments on other assets (some of which are higher-speed equipment) and grow from there. Laurence Thomas, senior advisor on the Asset Care team, commented: “After trials with other companies and techniques, only SPM HD was able to detect the faults in sufficient time to plan in critical replacements. This has also given us the opportunity to manage our lubrication schedule and change our maintenance philosophy from reactive to condition-based, proactive tasks. We are looking forward to building on our condition monitoring portfolio with SPM and expanding to other areas within Severn Trent Water. In addition to the instrumentation and measuring equipment, SPM Instrument UK will also provide service and training for the Severn Trent Asset Care team.