AD7894ARZ-10REEL7 - Analog Devices

Manufacturer Part Number

AD7894ARZ-10REEL7

Manufacturer

Analog Devices

Introduction

The AD7894ARZ-10REEL7 is a 14-bit, 200kSPS, single-channel, successive approximation analog-to-digital converter (ADC) that operates from a single 5V power supply. It features an on-chip sample-and-hold amplifier, an internal 2.5V reference, and a high-speed serial interface. The AD7894ARZ-10REEL7 is ideal for a wide range of industrial and instrumentation applications that require high-speed, high-accuracy analog-to-digital conversion.

Product Features and Performance

14-bit resolution

200kSPS sampling rate

Single-ended input

1:1 sample-and-hold to ADC ratio

Single-channel configuration

Successive approximation architecture

External reference

5V analog and digital supply voltages

-40°C to +85°C operating temperature range

8-SOIC package

Product Advantages

High-speed data conversion

Excellent DC and AC performance

Low power consumption

Small footprint 8-SOIC package

Wide operating temperature range

Key Reasons to Choose This Product

Reliable and accurate analog-to-digital conversion

Ideal for a variety of industrial and instrumentation applications

Compact and power-efficient design

Flexibility in system integration

Quality and Safety Features

Robust design for industrial environments

Compliance with industry standards

Rigorous testing and quality control

Compatibility

The AD7894ARZ-10REEL7 is compatible with a wide range of industrial control and instrumentation systems that require high-speed, high-accuracy analog-to-digital conversion.

Application Areas

Industrial process control

Instrumentation and measurement

Data acquisition systems

Test and measurement equipment

Product Lifecycle

The AD7894ARZ-10REEL7 is an active product, and there are no immediate plans for discontinuation. However, as technology evolves, it's always a good idea to check with the manufacturer or our website's sales team for the latest information on availability and potential alternative models.