Predictive Maintenance
The diagnosis aims to offer our customers an opportunity to know the current operating conditions of their machines. It is proven that predictive diagnostics reduces the non-scheduled stops, reducing costs in equipment maintenance and increasing the efficiency of the productive process. It is in this sense that Nishi acts, together with its partners, diagnosing eventual problems even before they appear and proposing the right solution, in the right place, at the right time.
PARTIAL DISCHARGE MONITORING
One of the most advanced techniques for predictive analysis of the isolation of rotating machines is the monitoring of partial discharges. Nishi offers the installation and monitoring of this technique to
- Identify Sources of Faults in the State Winding;
- Evaluate the useful life of the stator winding;
- Extend Intervals of Maintenance Stoppages;
- Maximize Production Assets;
- Specific Information to Define Repair Works;
This test is done with the machine in operation, without the need to stop it. This way, we perform the measurement with all operating parameters present (temperature; magnetic flux; electromagnetic forces; etc).
Predictive Maintenance
Nishi takes part in the 38th Brazilian Congress on Maintenance and Asset Management, exhibiting products, services and equipment
Nishi will be present from September 26 to 28, 2023 in Curitiba-PR at the 38th Brazilian Congress of Maintenance and Asset Management, exhibiting products, services and equipment. EXPOMAN is the largest trade fair in the
Electrical Tests: Low Voltage Winding x Medium High Voltage
Nishi-san's tips on medium and high voltage motor and generator maintenance are back, now with live broadcasts and open participant Q&A. Watch and participate in this online event with lots of technical content and the
MAINTENANCE POLICIES: WHAT IS THE DIFFERENCE BETWEEN THEM AND WHICH IS THE BEST CHOICE?
When it comes to reliability and operational warranty of your electric machines, maintenance is an indispensable item. There are basically three types or intervention policies that are best known in maintenance: corrective, preventive, and predictive.
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