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Artificial Intelligence (AI) in Condition Monitoring for Land, Sea & Air Transport

When it comes to the maintenance of engines and other mechanical equipment, there are lots of different things that can go wrong. But with the right systems in place, the potential for costly failures and repairs can be seriously reduced. Systems like our very own MachineCare + can massively reduce failures in mechanical components used on the land, in the sea and in the air all thanks to specially created AI.

What Is Condition Monitoring?

Before we get into what can benefit from AI-powered condition monitoring, it’s important to understand exactly what condition monitoring is. Condition monitoring is the process of ensuring everything that keeps a machine running, is working effectively. This can mean anything from oil and fuel to coolants and individual parts, because if one element breaks or doesn’t work the whole machine can grind to a halt, quite literally. You can find out more about AI Condition Monitoring and in particular our MachineCare + software here

Land

The first thing that comes to mind when you mention engines on land is normally cars. When it comes to the maintenance of cars, HGV’s or busses we often rely on the internal computers to diagnose any faults. But the problem with these systems is they can only diagnose faults once they happen which means you already have a potentially costly repair on your hands and time when you can’t use the vehicle because it’s being repaired. This is an especially important consideration for companies operating a fleet of vehicles. Running the oil, fuel and coolant through an analysis system can reveal a lot more information about the health, efficiency and degradation of essential components. Spotting these issues early prevents them from escalating further to a more serious, or more costly issue. 

Sea

Modern boating has also seen a big increase in the number of mechanical parts. Similar to land vehicles, moving parts can break down over time which can go undetected until it’s too late. But this degradation can be detected by analysing the fluids that keep it moving, like oil and coolant. As parts become worn or damaged, fragments end up in these fluids that can be detected using advanced software and AI to not only fix the problem before it’s a problem but optimising the components to prevent it happening again. But it’s not just engines that can suffer the effects of bad maintenance. In recent years, with a big focus on more environmentally friendly energy sources, tidal and wave power have become rampant. But, for these systems to work all of their moving parts need to be looked after. By analysing the lubricants used in these generators, you can find any sort of external contaminant or signs of excessive wear in the moving parts and prevent unnecessary downtime. Thanks to our specialist AI, these minute particles can be detected quickly and easily and with input from experienced engineers, a solution to solve and prevent the issue can be reached. 

Air

Ensuring that all the mechanical parts and systems are functioning correctly and optimally is perhaps most important for air travel. Any kind of engine failure in an aircraft can have catastrophic consequences. From planes to helicopters to drones, they will need maintenance of some description just as they all need some kind of lubrication to keep parts moving and prevent the whole system ceasing up. Whilst there might be less risk of an external contaminate like dirt or soil entering the lubricant compared to land vehicles, particulates created from overworn or broken components can still cause and signify problems. But it’s not just planes and helicopters that can benefit from AI-powered condition monitoring, wind turbines are amongst the moving parts that require servicing and maintenance. Without servicing, their massive blades will simply cease up, meaning they can’t generate any electricity which would leave millions of homes without power. Hence why it is vital that downtime for wind turbines needs to be minimal, something only achievable through condition monitoring.

AES to exhibit at Seawork International 2018

AES will be exhibiting on Stand Number PY90 at this year’s Seawork International 2018. It will be our pleasure to welcome all our visitors and provide them with an overview of the benefits of the Machine Care Plus® Condition Monitoring Service.

PathoSys® updated to include new Renal Dataset

AES Medical has updated its PathoSys® cancer reporting software to include the Royal College of Pathologists amended Adult Renal Parenchymal Cancer Dataset. 

AES Medical is obliged through its licence agreement with the Royal College of Pathologists to keep PathoSys® up to date with latest Cancer Datasets. This rapid turnaround for the Renal dataset demonstrates our commitment to this process and the benefits it brings. 

The new amended dataset published in November 2006 supersedes the 1st edition published in 2001. The new dataset is due for review November 2009. 

The new Adult Renal Parenchymal Cancer Dataset along with the others published by the Royal College of Pathologists is available for download on the Royal College of Pathologists website.

PathoSys® 4 Goes Live

The first Live cases have been entered into PathoSys® 4, the new clinical decision support system for histopathology. The system has been designed and built to cater for the modern-day pressures facing the NHS to assist them to record information quicker and more efficiently thereby helping reduce turnaround time.

PathoSys® 4 is now available to access on any web browser, putting the user firmly in charge of their own working practices and provides opportunities for working from home, hot-desking and real-time collaboration during MDT meetings. Switching to a web-based application has also allowed for further configuration, so we are able to create a bespoke system that meets the needs and demands of your pathology service.

Incorporating the latest Royal College of Pathologists datasets, the system provides standardised reporting and structured data capture, facilitating rapid real-time audit and the export of data to authorised third parties. Many of our Trusts are using PathoSys® 4 as their main COSD solution, the system is capable of exporting their COSD data at no additional time or cost required.

AES attendance at DSEI 2017

AES are currently exhibiting at DSEI 2017 and are having a very successful show. The show, which is being held at ExCel in London, runs until Friday 15th September 2017. Please come visit our stand at booth S4-400.

We look forward to the opportunity to meet with our customers and contacts in the Defence and Security industries and to showcase the real benefits achieved using the Machine Care Plus® Equipment Fluid Analysis and Condition Monitoring Services.