Services

HAHN Spring can...

Develop bespoke software systems that operate on your data and address your specific requirements.
Supply tailored software tools, efficient algorithms and innovative Artificial Intelligence (AI) techniques that can operate on huge datasets to extend your data analysis capabilities.
Supply tailored Condition Monitoring (CM) software systems that operate on data collected from vehicles and other machines.
Build affordable Integrated Vehicle Health Management (IVHM) applications.
Provide prototype software systems and tools using Rapid Application Development (RAD) techniques that can be used to better understand your system requirements.

By consulting with HAHN Spring we can offer...

Independent consultation for capability improvements through investigations, reviews, analyses, simulations, validation plans, technology assessments, gap analysis, cost benefit analysis, and market research.
Development of guidelines on system validation, verification and certification.
Provision of optimised system requirements derived from data analysis and affordable Rapid Application Development (RAD) techniques.
Research to accelerate the evolution of your Condition-Based Maintenance (CBM) systems.
Audits to maximise the benefits you get from your existing systems and services.

The independent consultation process provides unbiased contributions free from any organisational limitations:

Independence can lead to the identification of any hidden weaknesses or overlooked strengths.
Independence can deliver clear views on how to accelerate progress.
Independence can deliver correct balances between capability components.
Independence can provide a valuable parallel development path with unbiased emphases on key capability components.

HAHN Spring can analyse your data...

Providing system requirements should you wish to commission a new software system.
Delivering independent recommendations to improve existing systems.
Applying novel data processing techniques that include Artificial Intelligence (AI) and signal processing.
Extracting useful novel information from your data that address your objectives.

HAHN Spring can develop conclusive validation approaches to accelerate the introduction of your system.

For example, the core functions of Health Management systems are: (a) detection of faults using dedicated sensors, and (b) monitoring the factors that eventually induce faults and grow them to critical sizes threatening safety, integrity, or operability. Because of the initial costs required to develop, produce and install IVHM systems in each aircraft, conclusive evidence confirming correct core functionality would be required to encourage the procurement of the systems.

Collecting validation evidence during laboratory tests would never provide the conclusive proof of correct functionality for complex aircraft assemblies. The ultimate proof of correct functionality is validation evidence, e.g. crack detection, observed during the operation of the aircraft. However, the occurrences of such faults are infrequent, and hence, years of flight tests might be required to collect evidence.

Therefore, a validation approach should be developed to illustrate how to extrapolate from laboratory tests to actual aircraft. HAHN Spring can employ their unique experience to develop such a validation approach for your target system through independent consultation and contributions. The company efforts would be concluded by developing guidelines describing how to qualify your system for maintenance applications and demonstrate compliance with relevant airworthiness regulations and operating rules.

The HAHN Spring IVHM Approach covers the following key areas:

Sensing Technology: To accelerate the approval process of a proposed IVHM sensing technology, HAHN Spring adopts an approach leading to “approval by equivalence” as follows: (a) evaluate the technology effectiveness; (b) establish a methodology to determine the capability of the technology according to industry accepted practices; (c) establish an approach to reduce the costs of the tests required to determine the capability; (d) demonstrate how the determined capability, when implemented, can maintain the level of safety risks as low as the level achieved by existing approved technologies.
Data Analysis: By analysing IVHM data, HAHN Spring would deliver independent recommendations for system improvements; the company would tailor software tools to extend analysis capabilities covering fusion, anomaly detection, advanced usage, diagnostics and prognostics. The tools include model based algorithms, data driven models, tailored statistical methods, artificial intelligence techniques, and simulations targeted at the development and evaluation of advanced IVHM techniques. The tools include advanced signal processing algorithms to: (a) extract time and frequency domain features not only from sensed signals but also from normalised, enhanced, virtual, envelope and average signals; (b) select optimum set of significant diagnostic features that can significantly reduce false alarm rates and no-fault-found events.
State Detection: Algorithms can be configured to (a) automatically build a model for normal baseline operations using a number of significant diagnostic features, (b) detect abnormal deviations from the normal model, and (c) evaluate the severity of detected deviations.
Health Assessment: A process can be configured to label the abnormal events with the most likely faults, failure modes or abnormal conditions.
Prognostics Assessment: HAHN Spring can implement prognostic models showing the progression of faults to failure as a function of operational conditions.
Actionable Decisions: The information generated by the above algorithms can be transferred into actionable maintenance and management instructions.

The term Big Data often refers to advanced analytics capable of, repeatedly, at high Velocity, uncovering hidden values from huge Volumes of Varieties of data. The advanced analytics are often capable of accessing data across distributed storage locations and are often associated with cloud based-computing. Several commercial organizations are offering their own Big Data solutions. However, many organizations do not use commercial solutions because of security concerns, proprietary requirements or specific analytical needs. HAHN Spring can provide a solution that addresses all of your concerns and can tailor the solution to your specific requirements.

For example, your huge datasets may be stored at a remote location or at several locations worldwide. From their local offices, your engineers, scientists and developers would like to operate on the remote datasets to view, interrogate, analyse and apply specialised algorithms on the data. HAHN Spring can provide a solution allowing you to:

Operate on large complex datasets stored remotely.
Efficiently view and analyse the data using any web browser on any authorised computer.
Use your own preferred interrogation and analysis techniques.
Use additional tools provided by HAHN Spring, which include signal processing analysis tools, statistical analysis tools, generic IVHM algorithms, and diagnostic / prognostic algorithms.