FALCONEER TECHNOLOGIES, LLC

Patented Process Performance Software

Making Plants Smarter and Safer

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YOUR VIRTUAL WORKFORCE™

Package ensues quality data to asset management software:

Many maintenance and asset management initiatives are driv= ing instrumentation self-diagnostics and equipment condition monitoring investments, both hardware and software. These solutions are inherently designed to perform at the lowest level, i.e. the individual sensor or eq= uipment level. These include Hart Diagnostics, Foundation Fieldbus and Profi= bus, Smart Sensor Technology, and software such as Emerson’s AMS. Howeve= r, these solutions can be very expensive for processes with an existing installed base of instrumentation that does not have access to these new diagnostic technologies. There are also large gaps in these low-level diagnostic capabilities. The new diagnostic solutions only cover about a fifth to a third of potential faults, failures, or abnormal situations.

FALCONEER™ IV addresses these cost and capability ga= ps with its high level, process centered approach and design.

Our validation & fault diagnostic technology is based = on a combination of models that are already being used to design and oper= ate the process, i.e. unimpeachable sources of plant knowledge.

We couple this model-based approach with normal plant operations obtained from any control system data historian. This combinat= ion allows for detection of any and all deviations from normal, rather than o= nly those deviations that have already been identified and built into the diagnostics. We don’t have to “learn” or “train” like the other model-based approaches. It’s all built into how our patent-pending diagnostic methodology works.

Compared to other approaches, ours is more fundamental with easily configurable and understandable equations and logic, according to FMC. A former Foxboro manager appreciates our approach as: being rigorous enough to identify the problems without being too complex or expensive, combined with being easy enough to configure and maintain. Basically, our approach on= ly requires the existing process =3Dknowledge about normal operation (in the= form of equations and models) and simple statistical analysis of normal operat= ing data. Our program automatically generates additional diagnostic models, a= ll possible single and multiple fault rules and virtual control charts. This feature greatly reduces the configuration and startup time and any on-goi= ng maintenance requirements, making this patent-pending technology essential= ly auto generating and self-maintaining.