Dr Hesham Azzam founded HAHN Spring Limited in 2010. Previously, his career spanned 35 years; in the last 22 years, he led technology developments at MJA Dynamics, Smiths Aerospace and GE Aviation Systems. He holds a BSc and was awarded an MSc and a PhD from the University of Southampton. He is a Chartered Engineer, a member of the Royal Aeronautical Society and a member of SAE International. He has published more than 50 public domain papers and hundreds of technical reports. In 1997 and 2005, the Institution of Mechanical Engineers (IMechE) elected him for two Safety Awards.

HAHN Spring Limited is an engineering company specialised in analysing huge datasets, providing analytical tools, and software systems. By implementing innovative analytics and software at affordable costs, our web-based and standalone systems can be used on any number of computing devices without incurring individual recurring licence fees. We also provide independent consultation covering technologies, systems, software, services and strategies to optimally deliver the capability you need.

For over three decades, our employees have worked closely with aircraft manufacturers, operators, system suppliers, regulators, small businesses, and academia. We build on recognised contributions that have improved capabilities for Health and Usage Monitoring (HUM), Fatigue and Usage Management (FUM), Structural Health Monitoring (SHM), Engine Usage Monitoring (EUM) and Prognostic Health Management (PHM). With hands-on contributions and inclusive management, our employees have:

• Developed a suite of software tools that can operate on huge datasets and can be hosted in standalone and/or web-based applications; the tools include usage monitoring and statistical methods, model-based algorithms, anomaly detection techniques, signal processing and advanced regression tools, and Health Monitoring (HM) algorithms that can mimic the functions of existing HUM and FUM systems;
• Developed advanced Artificial Intelligence (AI) algorithms with unrivalled novel features; for example, the tools include a fast-to-learn, easy-to-configure neural network that can learn models at a very fine resolution maintaining the accuracy of extremely small numbers in the presence of large numbers; existing neural networks will fail to learn such models; the tools also include an innovative multi-dimensional AI tool that can autonomously classify data and identify small and large classes of objects of varying characteristics in a noisy environment, and hence, can significantly improve the outcomes of a wide range of applications;
• Analysed customer data;
• Developed, for an Oil & Gas Company, the algorithms of a condition-based system that can detect the failure modes of mechanical components for maximum safe containment of hazardous fluids;
• Developed an extremely affordable ground-based software and web-based applications for this condition-based system;
• Led a SAE international committee to develop the sections of the Aerospace Recommended Practices (ARP) report ARP6461 that have covered guidance on validating, verifying and certifying SHM systems for civil aircraft; ARP6461 was published in September 2013;
• Led a SAE international committee to develop the Aerospace Information Report AIR6245 that has covered military and industry perspectives on validating, verifying and certifying SHM systems for military aircraft; AIR6245 was published in November 2018;

Our employees have also: captured the system requirements of the JSF Force Life Management off-board system and developed most of the system analytical algorithms; pioneered developing helicopter mathematical models with simulated faults and using them with in-service data to advance prognostic and diagnostic approaches; led the development of Fatigue and Usage Management Systems for various MOD platforms; contributed to the development of HUMS ground stations; provided directions for project execution through earned value management and Cost As an Independent Variable (CAIV) processes. As a result, all of our projects have been completed within budgets and timescales to customers’ satisfaction.