Page 266 - Sace Emax 2 Manual for design engineers

ABB | SACE Emax 2
Predictive analysis program

1 - Presentation

Objectives Routine maintenance has always been considered a good way to maintain a high level of efficiency in the
installation, but it is also a cost item linked to the frequency with which it is performed.
Maintenance work can be promptly organized thanks to application of the new digital technologies and
constant monitoring of the vital parameters of the circuit-breaker during normal daily operation.
The ability to estimate the exact time that maintenance must be performed optimizes all aspects concerning
maintenance itself: plant efficiency, management of costs and investments, continuity of service.
This condition is known as predictive maintenance.

Proposal In ABB low voltage air circuit-breakers, the system that monitors and identifies the moment in which
maintenance is required is made available thanks to the Predict function in the ABB Ability Electrical
Distribution Control System (EDCS).
When it is connected to Cloud, the circuit-breaker continuously transmits a set of data which, once organized
and analyzed by algorithms, supply a trend with the state of aging of the circuit-breaker.

Operating principle The main factors that influence circuit-breaker aging are:
• The number of electrical and mechanical openings (switches).
• The interrupted current (%In, short-circuit, overload, etc...).
• Environmental factors such as temperature, humidity, dust, corrosion, ...
Constant evolution of these data and their combination affect circuit-breaker aging, which can be more or
less rapid.
An indication of the condition of the circuit-breaker and, above all, of the date when maintenance should next
be performed can be obtained by monitoring these data by means of Predictive Maintenance in ABB Ability
EDCS.
If something happens to the circuit-breaker during its normal operation, this data item is updated as a
consequence.

Advantages Any prompt identification of potential problems allows action to be taken:
• So as to optimize the way that the required resources are managed (organization of personnel, shorter
lead times for support - thus shorter downtimes,...) .
• On the quality processes and supply of replacement parts.
• So as to enhance customer satisfaction by ensuring that the installations are increasingly efficient.

264 | © 2020 ABB | 1SDH001330R1002 - ECN000134959 - Rev. A Predictive analysis program | 1 - Presentation