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! Press Release ! Press Release - 2019-08-02- BAUR Software 4

! Press Release - 2019-08-02- BAUR Software 4

! Press Release - 2019-08-02- BAUR Software 4
Product Code: ! Press Release - 2019-08-02- BAUR Software 4
Availability: 2-4 Weeks
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Introducing: BAUR Software 4

PRESS RELEASE

New BAUR Software 4 simplifies condition-based maintenance

Detect and evaluate cable condition quickly and consistently using your own diagnostics philosophy

Sulz, February 2019 – The new BAUR Software 4 combines functions for cable testing and diagnostics that support both asset managers and engineers in their everyday duties on site. It is suitable for cable testing (VLF truesinus, VLF square wave and DC voltage), cable sheath testing and diagnostics using the dissipation factor or partial discharge testing. The comprehensive measurement methods and new features of the BAUR Software 4 allow you to further optimise the condition-based maintenance of cable networks.

Cable condition evaluation based upon your own diagnostics philosophy

Operators have the choice of either using standardised diagnostics sequences or defining their own procedures for the various application cases and cable routes within the software. All measurement and evaluation parameters are thus stored at the start of a measurement and the engineer starts the measurement procedure with just a few clicks. This not only speeds up work in the field, but also gives rise to reproducible results regardless of the measurement equipment and the current operator. Moreover, the software produces evaluations even during the measurement cycles, and its new automated report functions simplify subsequent report preparation. Thanks to the many new software functions, cable testing and diagnostics can now be performed even more quickly and reliably.

Better decision-making criteria for network expansion and maintenance

Thanks to standardised measurement cycles and the comparability of results, asset managers receive an objective condition evaluation of the cable network. This gives them ideal decision-making criteria for network planning and condition-based maintenance. Measures can be prioritised and budgets used more cost effectively. Measured values obtained under the same conditions also permit the reliable evaluation of historic data for a trend analysis. This in turn provides empirical values that can be transferred to similar cable routes.

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