Product Description	inductive sensor DC
Name	KJ0,6-G3EB22-DPS
Order number	08317803010
Matchcode	9980-3010
Mounting	shielded
Switch type	N.O.
Signal Type	DC PNP
Connection	Cable 2m
Connection diagramm
Dimension (in mm)	D 3 x 22
Technical Specification
Operating voltage	10 - 30 VDC
Max. ripple	≤ 10 %
Voltage drop	1 V
Max. load current	200 mA
No load current	≤ 10 mA
Leakage current	≤ 10 µA
Switching frequency	2000
Switching hysterese	≤ 15 %
Operating temperature	-25 ° C to 70 ° C
Temperature drift	≤ 10 %
Repeat accuracy	≤ 5 %
Swiching state	LED
Time delay	100 ms
Short-circuit proof	yes
Overload protection	yes
Reverse voltage protection	yes
Protection category	IP67
EMC-level	DIN EN 60947-5-2:2014
Housing material	Stainless steel V2A
Material active face	POM
Cable length	2 m
Utilisation category	DC 13
Cable material	PUR grau (grey)
Cable cross	3x0.14 mm²
Errors and omissions exceptet

The KJ0.6-G3EB22-DPS sensor is a highly precise and versatile component used in various industrial applications. Its key features and technical specifications include:1. Precision Measurement: This sensor is designed for accurate and reliable measurements, making it suitable for applications demanding high precision.2. G3 Thread: With a G3 thread, it ensures a secure and stable connection, preventing any potential loosening during operation.3. Extended Temperature Range: It operates effectively across a wide temperature range, allowing it to be used in diverse environments.4. User-Configurable: The sensor's settings can be adjusted to meet specific application requirements, enhancing its adaptability.5. Diagnostic Capabilities: It offers diagnostic features, facilitating maintenance and troubleshooting in industrial processes.6. Versatile Applications: The KJ0.6-G3EB22-DPS sensor finds use in industries such as automation, quality control, and manufacturing. Its precision measurement capabilities are essential for optimizing processes and maintaining product quality.This sensor's primary purpose is to provide precise measurements, ensuring product quality and process optimization in various industrial applications. Its adaptability and diagnostic features make it a valuable component in automated systems.

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