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Welcome to Sensors and Data Acquisition


What is Signal Conditioning?

To process the form or mode of a signal so as to make it intelligible to, or compatible with, a given device, including such manipulation as pulse shaping, pulse clipping, compensating, digitizing, and linearizing.

The process of interfacing to a sensor, amplifying and filtering its signal ready for display or ADC.

Signal conditioning is an important component of any complete measurement system. No matter which sensor you are using, signal conditioning can improve the accuracy, effectiveness, and safety of your measurements because of capabilities such amplifications, isolation, and filtering.

Computer-based measurement systems are used in a wide variety of applications. In laboratories, in field services and on manufacturing plant floors, these systems act as general-purpose measurement tools well suited for measuring voltage signals. However, many real-world sensors and transducers require signal conditioning before a computer-based measurement system can effectively and accurately acquire the signal. The front-end signal conditioning system can include functions such as signal amplification, attenuation, filtering, electrical isolation, simultaneous sampling, and multiplexing. In addition, many transducers require excitation currents or voltages, bridge completion, linearization, or high amplification for proper and accurate operation. Therefore, most computer-based measurement systems include some form of signal conditioning in addition to plug-in data acquisition DAQ devices.

The accuracy, repeatability and reliability of analog measurements are at the heart of every data acquisition or measurement and control system. Reliable data from sensors is critical to achieving desired system results, whether it’s product / process improvements, raw material optimization, improved quality or increased uptime. Analog Devices has been solving signal conditioning problems for over 30 years, and is at the forefront of analog signal processing technology.

Sensors and Data Acquisition