Used CLARKE-HESS 255 #9221391 for sale

CLARKE-HESS 255
ID: 9221391
V-A-W Digital meter.
CLARKE-HESS 255 electronic test equipment is a versatile, multi-purpose electronic testing device designed for use in laboratories, research facilities, and testing centers. It is a complete equipment designed for the analysis, testing, and monitoring of electronic signals from analog and digital sources. 255 is a flexible and comprehensive suite of testing tools, making it ideal for most types of testing tasks. CLARKE-HESS 255 contains two main sections: the Control Unit, and the Signal Analyzer. The Control Unit is operated from a laptop or PC interface, and it can be programmed for a variety of testing scenarios. For example, the Control Unit may be configured to run a frequency sweep, measure harmonic distortion, or perform a series of tests. The Signal Analyzer is used to measure and analyze analog and digital signals. It is equipped with three Digital Signal Processor (DSP) channels for measuring different signal parameters, such as frequency, phase, amplitude, amplitude/frequency response, pulse widths, rise/fall times, and timing resolution of signals. Additionally, it can be used to capture waveforms from analog signals and decode any digital signals present. 255 is a powerful, yet compact test system, with an easy-to-use graphical user interface for simple setup and control. It is built with a rugged chassis, equipped with a die-cast aluminum base for portability. It runs on either 110V AC or 220V AC power, and has a built-in power protection unit in the event of a power surge. The digital inputs/outputs are RS-232 compatible, making it compatible with most digital instruments. CLARKE-HESS 255 is a comprehensive testing machine that is suitable for a wide variety of applications. It can be used in production line testing for source component parts and assemblies, or comprehensive tool and subsystem testing for product development. It is ideal for in-circuit testing and troubleshooting of circuitry, and for -monitoring and evaluating the performance of an entire electronic asset. It can even be used for advanced statistical analysis of data in order to pinpoint problems and identify root causes.
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