Blog Archives

DVD 2013 Prize Draw Winner

Congratulations to our Prize Draw winner: Mrs Jenny Godfrey, DRACAS Program Support, HQ Army, Andover.

Prize Draw winner: Mrs Jenny Godfrey, DRACAS Program Support, HQ Army, Andover.

AES would like to thank all visitors to DVD 2013 that took time out to visit our stand. The event was very successful and we received a lot of interest from potential new customers as well as much positive feedback regarding our services from existing customers. We look to forward to meeting all existing and potential customers at DVD 2014.

Big Data Business on a Growth Curve

Leading international big data and artificial intelligence specialist AES Group has extended its teams to cater for business growth.

Seven new staff members have joined the company, working from the group’s headquarters in Derby, within the software development and support teams.

Lead by Dr Mitch Grigoriu, a renowned academic and pioneer in the field of artificial intelligence, AES Group operates within multi-billion pound sectors, including healthcare and defence.

As well as Derby, the company has offices in Twyford and Alberta in Canada, offering unique products and technologies on a worldwide platform that help give answers to the many questions big data brings to society.

AES Group’s work includes combining the analysis of big data with the application of proven artificial intelligence techniques, to deliver solutions that go well beyond typical data analytics.

This includes the AES Method, which uses innovative technologies developed in-house to process and analyse data, and then apply a complex set of algorithms that emulate the workings of the human brain to interpret the findings, before recommending correct lines of action to take.

Based on its time-proven and trusted record, AES Group can roll out products and technologies to many applications, including condition-based monitoring, where valuable machinery and equipment can be managed, helping to extend its lifespan and save on maintenance costs.

These attributes make the solution attractive to sectors including the quarrying, shipping, rail and automotive industries.

AES Group’s ongoing growth comes as the issue of big data and artificial intelligence gain wide-ranging media coverage on how they can work in the future.

Dr Grigoriu was a pioneer of artificial intelligence in the 1980s at the University of Nottingham. He said: “We have an extensive track record in demanding sectors, and this history and on the ground experience means AES measures up to its claims to be about more than artificial intelligence.

“We are proud of our results achieved to date, and will continue to build on this success and deliver products and technologies to ensure big data reaches its full potential.

“Our new recruits reflect the growing opportunities benefitting our business in today’s digital society and we are delighted to have them on board.”

AES exhibited at DVD 2014

AES could be found on stand C3-37 at this year’s Defence Vehicle Dynamics (DVD) Show 2014 where it was a pleasure to welcome all our visitors and provide them with an overview of the benefits of the Machine Care Plus® Condition Monitoring Service.

Machine Care Plus® Supports Protected Mobility Vehicles

The following Protected Mobility Vehicles have been added to the Machine Care Plus® Equipment Fluid Analysis and Condition Monitoring Service:

• Mastiff
• Ridgback
• Wolfhound
• Jackal
• Coyote
• Husky

AES Ltd has been contracted by Operational Support Programmes – Protected Mobility Vehicle Programmes Team (OSP – PMVP) to provide fluid sample analysis and equipment condition monitoring for these vehicles. The service will primarily monitor the health of engines and engine oil, but condition monitoring of transmissions, transfer boxes, and hubs will also be provided, as and when required.

Machine Care Plus® Service supports Foxhound

FOXHOUND, the British Army’s new Lightweight Protected Patrol Vehicle is currently undergoing reliability trials at Millbrook Vehicle Test and Evaluation Centre in Bedfordshire. AES have been utilised by Combat Wheels Group (CWG) to analyse fluid samples and assist in the monitoring of the engine, transmission and hydraulic systems performance

AES Visit Germany based Army Regiments

AES are contracted to provide regular training and liaison visits to British Army Regiments and Units based in Canada, Germany and the UK to ensure users are able to fully benefit from the Machine Care Plus® service. During the trip to Germany a number of Regiments were visited, where equipment crews and maintenance personnel were given training on the oil sampling process and the diagnosis/remedial actions generated by the service.

South Tees Hospitals NHS Foundation Trust

The South Tees Hospitals NHS Foundation Trust has gone live with PathoSys®, a pathology reporting system that is linked to the iSoft iLab Information Management System (LIMS). The Trust provides healthcare to a population of 422,000 with Histopathology services at The James Cook University Hospital in Middlesborough and the Friarage Hospital at Northallerton.

AES assists in VCP techniques

AES has been assisting the Director General Logistics Support and Equipment (DGLS&E) Data Recording and Analysis and Corrective Action (DRACAS) team to assess Vehicle Corrosion Prevention techniques. The aim of the assessment was to identify measures that prevent equipment degrading while in storage, which will then reduce the cost of maintaining and re-activating the equipment in the future.

Two personnel from AES Defence visit RAO

Two personnel from AES Defence recently visited the Royal Army of Oman to assist them with their Condition Based Maintenance program. By using AES’s Trend Analysis program, part of the Machine Care Plus® service, a number of potential issues had been identified prior to the visit. Inspections of the vehicles and discussions with the crews and maintainers confirmed the situation and a maintenance plan was suggested to prevent further occurrences. Continued monitoring will be used to assess the effectiveness of the revised maintenance strategy.