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SIEMENS SIMATIC S5 433 DIGITAL INPUT MODULE, 8 Inputs, 5V to 24V DC
The SIEMENS SIMATIC S5 6ES5433-8MA11 Digital Input Module is a versatile and reliable component designed for industrial automation systems. It offers efficient signal acquisition with 8 inputs capable of sensing signals from 5V to 24V DC, making it an ideal choice for applications requiring precise data processing and control in manufacturing environments.
Detailed content
Number of Inputs:8
Operating Voltage Range:5V to 24V DC
Isolation Type:Floating
Compatible Systems:S5-90U, -95U, -100U, ET 100U, ET 200U
Dimensions:11.10 x 14.10 x 5.50 cm
Weight:0.26 kg
This digital input module from SIEMENS is specifically tailored for seamless integration into SIMATIC S5 automation systems, including S5-90U, S5-95U, S5-100U, ET 100U, and ET 200U series. It provides a robust solution for managing complex industrial processes with its advanced isolation feature, ensuring reliable signal transmission even in harsh environments.
Featuring a compact design and lightweight construction, this module is highly portable and easy to install, minimizing downtime during maintenance or upgrade operations. Its wide input voltage range accommodates various power sources commonly found in industrial settings, providing flexibility and compatibility.
The SIEMENS 6ES5433-8MA11 is engineered with precision components to withstand rigorous industrial conditions. Its operating temperature range ensures reliable operation across different climates, supporting year-round industrial automation without the need for additional cooling or heating.
Designed with user-friendliness in mind, this module offers straightforward installation and configuration processes, reducing the learning curve for technicians and engineers alike. Comprehensive documentation and support materials are provided to facilitate quick setup and minimize troubleshooting time.
Incorporating this digital input module into your automation system can significantly enhance operational efficiency by providing precise control over machinery and processes. It supports advanced diagnostic functions, enabling predictive maintenance and proactive system optimization to minimize unexpected downtime and reduce maintenance costs.
