Prognostics and Health Management

A novel approach to analyze energy and other engineering systems

We characterize the most nonlinear energy and engineering systems and processes for performance analysis, failure prediction, state of health monitoring and optimization.

Physics-based methodology

At Auriphys, our approach combines natural physics laws with engineering analysis to deliver consistently accurate system characterization under all operating conditions.

One size fits all

Consistent interpretation of results across all engineering systems, with system-specific customizations.

Steady and unsteady transformations

Includes thermal effects in the physics, hence no need for temperature corrections.

Instability prediction

Preempt or immediately identify sudden instabilities, to prevent catastrophic and runaway events.

Non-intrusive and light

Use your existing and readily observable system-process properties and variables as health measures.

Do you need a consistent, accurate analysis of your complex system?

Diagnostic tools for the engineer

We have developed the ab initio physics of degradation into system-specific, customizable characterization software tools which you and your engineers can use to process your own measured or simulated data. These products are either available or can be developed for various applications, including embedded/in situ health monitoring solutions and standalone computer desktop analysis tools.

Graphical User Interface

Our tools come with user-friendly interfaces, with simplified instructions and results interpretations to facilitate the system engineer's work.

Fully Customizable

You can use any convenient system property as degradation parameter. We will customize the solution by calibrating your system to your desired settings, with flexibilities.

Instantaneously valid

Our prognostics are valid throughout the life of the system, at all times.

Manufacturing design and analysis

Understand how your design and materials as well as operating conditions impact the performance of your system. Transformation/degradation coefficients, dissipation factors, efficiencies are some of the figures of merit available for in-depth root cause analysis.

Industry-leading accuracy in engineering system prognostics

Our methodology has been tested against very nonlinear and complex system-process interactions, with consistent results. We welcome the opportunity to characterize the most challenging engineering systems. Contact us for immediate demonstrations in the following applications:

Battery aging and instability

Instantaneously determine the state of health of all battery types under all operating conditions, including fast charge, over-charge and over-discharge, to prevent catastrophic events.

General fatigue

Via stress and strain, evaluate the state of health of all machinery and mechanical parts under all operating conditions, for optimized maintenance and reduction in downtime.

Friction, wear and lubricants

Use various tribological and rheological parameters to characterize degradation due to friction, wear and viscous dissipation in engineering systems.

"A groundbreaking diagnostics and prognostics methodology that delivers on its promises and exceeds expectations, even with the bar set high. This is truly the future of system health management."
- Our chief engineer