This presentation explores how one can salvage some badly distorted shock measurements, particularly ones with rather bad zero shifts. This is referred to as “salvaging” and not data correction.
Data correction would apply techniques like LP (low pass) filtering to remove sensor resonance. We know the precise cause of the distortion and are removing it.
Salvaging is when your data does not pass credibility checks and you "map" the data into a credible form via some form of detrending or similar (here HP - high pass filtering is used to perform the detrending). In this case, you do not precisely know the cause of the distortion, but you know its result -- that velocity and displacement are implausibly drifting. The mapping removes the undesirable behavior in one of the kinematic views of the data. You can think of this along the same lines of doing linear regression or some other type of curve fit to data.
The PhoenixKonnect software application interfaces with MECALC’s ALI25 data acquisition modules supporting sample rates up to 5.0 MSa/sec with full anti-aliasing protection. This level of performance is vital to accurately measure fast shock events and responses from undamped accelerometers with resonance at high frequencies.
In the late 80’s and Early 90’s shock (high speed transient testing) systems were limited to wiring multiple discrete subsystems together to make a data system. You had card / board level signal conditioners, digitizers, controllers and often separate memory. It was up to the integrator to come up with a system specification and some means of validating these specs. The late 90’s and early 2000’s saw the inclusion of DSP chips and over-sampling ADC’s (Sigma Delta Converters) added to these configurations, but now the discrete building blocks could be condensed into a single board or box package. By combining the discrete functions into one package and using DSPs to do the housekeeping it became possible to produce high reliability high accuracy data acquisition systems. These systems have end-to-end specifications which simplifies the task of evaluating their performance. The key is to understand what these specs mean and how do they help you take good data. This paper will help take some of the mystery out of choosing what is right for your application.
Gunfire simulations are important for evaluating new mobile and fixed weapon systems and components with realistic survivability testing criteria. With field component failures of sophisticated accessories, there are increasing demands for better testing regimens. The data necessary to develop a database to accurately quantify this pyroshock environment are being measured for two automatic weapons. Recent live gunfire measurements were made using the highest fidelity measurement techniques available. Single live gunfire and multiple live gunfire measurements (single and three round burst) have been evaluated according to MIL-STD-810G Method 516.7 for Shock. These data highlight the requirements for validating model against live gunfire data.
A problem facing LLNL was the previous Primary Target Chamber (PTC) testing had not succeeded in characterizing the failure modes of the PTC pressure seals. Breeches in the PTC pressure seals were observed from previous PTC tests...