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Signal Conditioning: What It Does and What Each Sensor Needs

Written by Sciotex Engineering
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Signal conditioning is the electronics between a sensor and the analog-to-digital converter that turn a sensor’s raw output into a clean signal the converter can measure accurately. It amplifies small signals, filters out noise and aliasing, supplies the excitation some sensors need, isolates the measurement from ground loops and hazardous voltages, and converts currents or bridge outputs into a voltage in the ADC’s range. Without it, many sensors either cannot be read at all or are read with errors far larger than the sensor itself.

This article is part of our complete guide to data acquisition (DAQ), which explains how sensors, conditioning, the ADC and software fit together. Here we go deeper on the conditioning stage: what each function does, what each common sensor needs, and how to specify it for a real system.

Why raw sensor signals need conditioning

A typical DAQ input measures ±10 V. Most sensors produce nothing like that:

  • A Type K thermocouple produces about 41 µV per °C.
  • A strain gauge bridge or load cell produces a few millivolts per volt of excitation, and nothing at all without that excitation.
  • An IEPE accelerometer needs a constant current supply before it outputs anything.
  • A process transmitter outputs a 4–20 mA current, not a voltage.
  • A power or motor measurement may sit hundreds of volts above ground.

Worked example: why gain matters

On a ±10 V range, a 16-bit ADC divides 20 V into 65,536 steps, so one step (1 LSB) is about 305 µV. For a Type K thermocouple at 41 µV/°C, that is roughly 7.4 °C per step, useless for most temperature work. Amplify the signal by 100 so the effective range is ±100 mV, and one step becomes about 3 µV, or under 0.1 °C. The ADC did not change; conditioning made its resolution usable.

The main signal conditioning functions

FunctionWhat it doesTypically needed for
AmplificationIncreases small signals to use the ADC’s full range and improve resolutionThermocouples, bridges, microphones, low-level biological signals
AttenuationReduces large voltages into the input rangeHigh-voltage and power measurements
FilteringRemoves noise and frequencies above half the sample rate (anti-aliasing)Almost every analog measurement
ExcitationSupplies the voltage or current a passive sensor needsStrain gauges, load cells, RTDs, IEPE sensors, LVDTs
Bridge completionAdds precision resistors to form a full Wheatstone bridgeQuarter- and half-bridge strain gauges
IsolationBreaks the electrical path between sensor and DAQ groundGround loops, high common-mode voltage, operator safety
Current-to-voltage conversionA precision shunt turns a current into a voltage4–20 mA transmitters
Linearization and compensationCorrects non-linear sensors and reference effectsThermocouples (cold-junction compensation), thermistors, RTD leads
ProtectionLimits overvoltage and transients before they reach the DAQIndustrial and field wiring

Signal conditioning by sensor type

The sensor decides most of the conditioning. This table covers the sensors we see most often in test and measurement systems:

SensorTypical outputConditioning neededWatch out for
ThermocoupleTens of µV per °CHigh gain, cold-junction compensation, lowpass filtering, often isolationCJC accuracy and open-thermocouple detection
RTD (e.g. Pt100)About 0.385 Ω per °CPrecision excitation current, 3- or 4-wire connection, gainLead-wire resistance and self-heating
ThermistorLarge, non-linear resistance changeExcitation and linearizationNarrow useful range
Strain gaugeA few mV per V of excitationExcitation, bridge completion, gain, shunt calibration, remote senseLead resistance, temperature drift, noise
Load cell or bridge pressure sensorTypically 2–3 mV per V (full bridge)Stable excitation, gain, filteringExcitation drop over long cables
IEPE accelerometer or microphoneAC voltage riding on a DC bias2–20 mA constant current, AC couplingCable faults and the low-frequency limit of AC coupling
Charge-mode piezoelectric sensorElectric charge (pC)Charge amplifierCable movement noise; needs low-noise cable
LVDTAC signal proportional to positionAC excitation and demodulationExcitation frequency vs. measurement bandwidth
4–20 mA transmitterCurrent loopPrecision shunt (250 Ω gives 1–5 V), loop powerGround loops when several transmitters share a supply
High voltage or currentUp to hundreds of volts, or ampsAttenuation, isolation, current transformers or Hall-effect sensorsSafety ratings and common-mode voltage

Thermocouples have their own article, thermocouple data acquisition, because cold-junction compensation and accuracy budgets deserve more space than a table row.

Filtering and anti-aliasing

Filtering is the conditioning function people most often get wrong, because its most important job happens before the data exists. An anti-aliasing filter must be analog and sit in front of the ADC: once a high-frequency signal has been sampled too slowly, it appears as a false low-frequency signal that no software can remove. Set the filter just above the highest frequency you need and sample comfortably above twice that frequency; our article on high-speed data acquisition covers how to choose the sample rate.

  • Butterworth filters have the flattest passband and suit most amplitude measurements.
  • Bessel filters preserve waveform shape, which matters for pulses and transients.
  • Elliptic filters roll off fastest but distort phase.
  • Delta-sigma ADCs include steep digital anti-aliasing filters, which is why they are popular for vibration and acoustics, at the cost of some delay.

Separate from anti-aliasing, a lowpass filter well below the sample rate improves noise on slow signals such as temperature, and a notch or averaging over whole mains cycles rejects 50/60 Hz pickup.

Isolation, differential inputs and grounding

Noisy or drifting readings are more often a grounding problem than a sensor problem; our article on ground loops and galvanic isolation covers diagnosis in depth. When the sensor and the DAQ are grounded at different points, the difference in ground potential drives current through the measurement wiring and adds error, often at 50/60 Hz. Three tools deal with it, in increasing order of cost:

  • Differential inputs measure the difference between two wires and reject voltage common to both, up to the input’s common-mode limit.
  • Proper grounding and shielding: one ground reference per circuit, shields grounded at one end, and twisted pairs for low-level signals.
  • Isolation breaks the conductive path entirely, so large common-mode voltages and ground loops cannot reach the measurement. It is also a safety requirement whenever sensors touch mains-level or hazardous voltages.

When comparing isolated hardware, check whether the rating is channel-to-earth only or also channel-to-channel, and whether it is a continuous working voltage or a short-term withstand test.

Where the conditioning lives

OptionWhat it isGood forTrade-offs
Built into the DAQ moduleSensor-specific modules for thermocouples, bridges, IEPE and so onMost test stands and lab systemsModule cost per channel; you choose the module per sensor type
External signal conditionersDIN-rail or panel units that output a standard signal (0–10 V or 4–20 mA)Industrial panels, PLC inputs, long cable runsOne unit per channel; adds accuracy and drift terms
Conditioning at the sensorAmplified transducers, IEPE and smart sensors, sometimes with TEDS electronic data sheetsSimple wiring and noisy environmentsLess flexible; the sensor fixes the range and bandwidth
Custom conditioning electronicsPurpose-designed boards matched to an unusual sensor or channel countSpecialized research and production testDesign and validation effort

Note that “signal conditioner” often refers to the second row, a standalone DIN-rail module, while in a DAQ system the conditioning is usually built into the input modules. Both do the same job.

Worked example: conditioning a load cell

A 1,000 lb load cell rated at 2 mV/V, excited at 10 V, produces 20 mV at full load, or 20 µV per pound. On a plain ±10 V, 16-bit input, one step is about 305 µV, so the reading would move in steps of roughly 15 lb. A bridge input module with a ±25 mV range, built-in excitation and a 24-bit ADC resolves well under 0.1 lb, and remote sense wiring corrects the excitation lost in a long cable. The load cell is the same in both cases; only the conditioning changed.

How to specify signal conditioning

For each channel, write down:

  • Sensor type, model and output range, including any rated output in mV/V.
  • Excitation it needs: voltage, current or AC, and the cable length it must travel.
  • Signal bandwidth, which sets the filter and the sample rate.
  • Required accuracy and resolution in engineering units.
  • Voltages present: common-mode voltage, nearby mains or motor drives, and whether isolation is required for safety.
  • Environment: noise sources, temperature range and connector or cable constraints.
  • Calibration: shunt calibration for bridges, TEDS, and how often channels must be verified.

Our article on choosing the right DAQ system turns this into a full requirements list for the rest of the system.

Common signal conditioning mistakes

  • Connecting millivolt sensors to a ±10 V input and blaming the sensor for poor resolution.
  • Relying on digital filtering to remove aliasing that only an analog filter can prevent.
  • Using single-ended inputs for low-level signals in an electrically noisy plant.
  • Grounding a cable shield at both ends and creating a ground loop.
  • Ignoring excitation loss in long bridge cables instead of using remote sense.
  • Forgetting that AC-coupled IEPE inputs cannot measure static or very slow signals.
  • Treating isolation as optional when sensors touch hazardous voltages.

Systems Sciotex has built

Most of our data acquisition projects combine several sensor types, each with its own conditioning, in one synchronized system. Examples include a glove box tester that monitors component forces during automated cycling, a treadmill monitor that records physiological data from horses alongside treadmill speed and incline, and a stimulus and response system that applies voltage waveforms to biological samples while logging the tissue response.

Mixing sensor types in one system?

Sciotex designs custom data acquisition systems with the right conditioning for every channel, from thermocouples and load cells to IEPE and high-voltage inputs, built and supported in the US since 1997.

Explore our custom DAQ systems

Frequently asked questions

What is signal conditioning?

Signal conditioning is the electronics between a sensor and an analog-to-digital converter that prepare the sensor’s output for accurate measurement, by amplifying, filtering, exciting, isolating or converting it.

What is the difference between signal conditioning and a signal conditioner?

Signal conditioning is the function. A signal conditioner is a device that performs it, often a standalone DIN-rail module that outputs a standard 0–10 V or 4–20 mA signal. In DAQ systems, conditioning is usually built into the input modules.

Why do strain gauges need signal conditioning?

A strain gauge is a resistor that changes very slightly with strain. It needs an excitation voltage, usually bridge completion resistors, and high gain to turn a change of a few millivolts into a measurable signal.

Is filtering part of signal conditioning?

Yes. Analog filtering, especially the anti-aliasing filter before the ADC, is one of the core conditioning functions, because aliased signals cannot be removed after sampling.

Do I need isolated signal conditioning?

Use isolation when sensors and the DAQ are grounded at different points, when there is high common-mode voltage, or whenever sensors connect to hazardous voltages. Differential inputs are enough for many bench measurements.

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Sciotex Engineering

The Sciotex engineering team has designed and built vision, automation and test systems since 1997.

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