Most important for maintenance monitoring is to be able to predict changes in behavior of machinery. This way service shut-downs can be planned ahead to prevent sudden failures. In these cases collection of history data plays important role. When the behavior of functioning machine is well known it is easy to evaluate need for service in case there are changes in machines status.
With our monitoring systems the conditions of machinery can be surveilled trough internet. The information is always available for decision making personnel. In a-Log.net can be build algorithms and limits. Exceeding of limits or any other abnormal functions generates an alarm to user’s mobile phone.