Failure Analysis Leverages Prognostic Technology for Achieving 100% "Measured" Reliability, 100% Availability, 100% of the Time.

TECHNOLOGY LICENSING

PREDICTIVE ALGORITHMS

Data-Driven Algorithms

We offer data-driven prognostic (predictive) algorithms for illustrating prognostic markers/prognostic identifiers/accelerated aging/failure precursors in normal appearing data from fully functional equipment.

The development of these algorithms started on the Boeing/U.S.Air Force Global Positioning System (GPS) Block 1 test & evaluation satellites in 1978. These tools allow the illustration of accelerated aging, often present in normal appearing data from fully functional equipment. Our algorithms convert equipment performance data (including telemetry) to a measurement of the equipment specific remaining usable life allowing the identification of the equipment that will be failing.

Our algorithms are general purpose and are adaptable for use on equipment from a variety of industries whose equipment are too expensive and too important to fail prematurely.

Model-Based Algorithms

We develop model-based algorithms that are tailored to specific products and equipment. These allow equipment to self-prognose and predict remaining usable life allowing condition-based maintenanace programs.

PROGNOSTIC ANALYSIS

A prognostic analysis completed prior to equipment or product use will identify the prognostic markers present so that the correct acts can be taken to avoid a catastrophic failure.

A prognostic analysis completed after a failure has occurred will identify the prognostic markers that were present but ignored/overlooked, thus identifying liability/responsibility.

In the past, a failure analysis would be completed to identify the cause of a fauilure. Today, a prognostic analysis is completed to prevent a failure from occurring.

A prognostic analysis uses already available equipment or product test data collected normally and the results from a failure analysis if one was completed.

Some industries already provide the informatuio used to complete a prognostic analysis externallly, for industreis that do not, we can identify the measurements/data needed.

ORACOL - normal SATELLITE AND SPACECRAFT TELEMETRY BEHAVIOR PREDICTIONS

Satellites and spacecraft are launched into space without any understanding of normal telemetry behavior for the mission life of a satellite. Vehicle factory testing doesn't attempt to duplicate conditions in space that will influence telemetry behavior in order to define normal telemetry behavior for engineers responsible for evaluating it.

Currently there is only a "wait and see" approach by engineers to decide what is normal behavior. Today's engineers simply wait for equipment to fail before reacting. Satellites and spacecraft cost many hundreds of millions of dollars to get into space. spacecraft engineers deserve to know well in advance while the spacecraft is still on the ground what to expect in telemetry behavior to determine whether the spacecraft is operating as expected or need special attention. 

Satellite and spacecraft factory testing is used to induce failures in vehicle equipment by exposing equipment to the extreme environment conditions expected during launch and in space. The goal of factory testing is not to duplicate space conditions but repair and replace equipment that fails.

By understanding the influences on spacecraft telemetry, for the first time, Failure Analysis can provide spacecraft design engineers and operations engineers with the information telemetry behavior for any spacecraft and any satellite before launch, regardless of design and applications.

INDEPENDENT FAILURE ANALYSIS

So complex and unique are space equipment designs, satellite insurance companies have been forced for decades to use the companies at fault to determine launch vehicle and satellite failure responsibility. For the first time, another company can independently provide an accurate and reliable failure analysis of another companies vehicle equipment failure.

Now covered by the "best effort"clause in their contract, vehicle builder's production includes the use of the new technology for identifying equipment that will fail during the first year of in-orbit vehicle use. Vehicle builders can no longer claim that there is no technology available for stopping infant mortality failures during the first year of in-orbit satellite use.

Failure Analysis' telemetry prognostics reliability provides an opportunity to have an independent failure analysis completed identifying what equipment was at fault, if the equipment began to fail during factory test, why the failure wasn't caught during factory test and when the catastrophic failure occurred.

For decades satellite insurance companies have been forced to use the builders of the vehicles that have failed own internal failure analysis in order to determine what went wrong, when and why. Guess what,  there results always show conclusively they weren't at fault, forcing the payout of large settlements by insurance companies playing large stakes gambling.For the first time, vehicle builders can be identified as at fault for launching equipment expected to fail in the near future.

This obvious conflict of interest can now be eliminated with Failure Analysis' telemetry prognostics. Using the exact same tools, techniques and technologies developed and used on the Boeing/Air Force Global Positioning System program to predict failures in atomic frequency standards, telemetry prognostics can be used to evaluate all spacecraft (satellite, missile & launch vehicle) telemetry while the equipment remains on the ground, allowing repair or replacement of equipment that is going to fail.

Telemetry prognostics results provides the first payback for satellite and launch vehicle builders to instrument all space equipment. Using equipment and vehicle generated telemetry, Failure Analysis' telemetry prognostics removes excess and unreliable data to allow the identification of failure behavior that has always been present in test data that could and should be caught during equipment and vehicle test.  

TELEMETRY SCIENCE SEMINARS

Telemetery Science uses the prognostic algorithms needed to generate baseline behavior for satellites and spacecraft to predict equipment telemetry behavior well intio the future. This information is essential for personnel responsible for operating, controlling and rponding to conditions that may cause the failure of todays billion dollar satellites and spacecraft.

Telemetry Science applies the mathematics of RF and digital signal theory used to quantify RF and digital signals to satellite/spacecraft equipment telemetry behavior under gravitational effects for an unlimited number of years.