Our advanced 4-channel Q.bloxx A105 measurement module sets new standards in terms of stability and precision. For many different applications, the extremely precise and stable measurement of temperatures is an absolute prerequisite for the control of processes or the success of product innovations. In addition to the essential precision, particularly important aspects of this are the maintenance of stability when changes occur in the ambient temperature and ensuring long-term stability.
- 4 galvanic isolated input channels for cryogenic sensors
e.g. Type Cernox, Type TVO
input range selectable 6500 Ω and 20000 Ω
- Sensor excitation 7.5 µAeff only
avoids self-heading of the sensor
- Individual linearization of the sensor characteristics
Sensor specific linearization by using 32 nodes and archive in a sensor data file. Import of manufacturers calibration data
- High accuracy digitalization
24 bit ADC, 10 Hz sample rate per channel
Vietnam International Control & Automation 2019
The path to reduced product development cycles, more efficiency and better durability in monitoring and control starts with Gantner Instruments at the Vietnam International Conference and Exhibition on Control & Automation in Hanoi, Vietnam.Read more...
“Wünderla ko" on September 16, 2023 from 10 am - 4 pm along Montafonerstrasse 4-21 in Schruns.Read more...
How to transform the data avalanche into insight
In a world of increasingly complex products and faster release cycles, the ability to accumulate and efficiently analyze test data has never been more important.Read more...
IPERMON – Innovative Performance Monitoring System for Improved Reliability and Optimized Levelized Cost of Electricity
Currently, a vast amount of research institutions and organizations are focusing on ways to improve the operation, reliability and consequently the output of PV systems. An important aspect yet to be targeted remains the procedural and standardized approach to calculate accurately the factors behind the various performance loss mechanisms, while also detecting and diagnosing potential failures at early stages or before occurrence. Identification of degradation and failure modes at preliminary stages is important as these mechanisms directly influence the performance, lifetime and reliability of PV technology.Read more...