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Condition monitoring systems

Automation and Control> Condition monitoring systems > INGESYS ACM

INGESYS ACM

Ingeteam wins two contracts with European Energy for the supply of its technology in two solar plants in Australia

These projects are expected to come into operation next year, generating approximately 255 GWh per year. Ingeteam's supply includes 77 photovolta...
Ingeteam validates first mathematical model of photovoltaic plants in Brazil by ONS

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Ingeteam winner of Sinaval award

Challenges such as sustainable development, technological innovation, decarbonisation and competitiveness were some of the challenges addressed at Wor...
March 22: WORLD WATER DAY

Each year, the UN chooses a central theme to highlight a key water-related issue, such as access to safe drinking water, sanitation or the impact of c...
Electric Hydrogen selects Ingeteam for green hydrogen projects in Europe

Electric Hydrogen, a US manufacturer of large-scale, cost-competitive electrolyzers have selected Ingeteam, an established leader in power conversion ...
International Clean Energy Day

On 26 January, we celebrate International Clean Energy Day, a day proclaimed by the United Nations General Assembly to raise awareness and mobilise gl...

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INGESYS ACM flyer

20/05/2025

OZWATER

AWA is Australia’s most extensive water network inspiring and driving a sustainable water future. Whether it’s expanding your business in...
21/05/2025

TRAFFEX

Traffex, co-located with Parkex and Cold Comfort is the largest dedicated traffic management, transport, parking and winter road maintenance event in ...
02/06/2025

Nor-Shipping

The only constant is change. In a rapidly evolving maritime and ocean industry, how can we work to find the strategies, solutions and partners to miti...

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INGESYS ACM
Technical Features
Configuration	Trigger conditions and diagnostics data configuration Definition of operation statuses based on the acquired data Permission and user configuration Configuration of operating procedures
Monitoring	Advanced functional features for monitoring the data based on dashboards, alarms, customised user reports generation
Big Data Analysis	Identification and monitoring of time trends of critical operational parameters Definition of thresholds on critical parameters Post-processing functions for optimising data analysis Establishment of behaviour models based on MATLAB/SIMULINK