On-line algorithms for improving control system functionality.
Sorts alarms and events into primary and consequential. It can reduce large alarm cascades to a single root cause. This unique GoalArt algorithm solves the problem of alarm cascades or event storms completely.
Monitors the system for faults, and when a fault occurs, performs a systematic search for root causes, using measurements and questions to the operators or service engineers. The result is an explanation of the situation and a corrective plan. Also known as Airport Fault Detection System (AFDS).
STATE-BASED ALARM PRORITY
Uses measurements to identify the current operating state of the system. This knowledge is then used to assign a dynamic priority to alarms and events, and to suppress irrelevant alarms completely.
SENSOR FAULT DETECTION
Uses knowledge on a system-wide level to identify measurements with inconsistent values. It detects sensor faults, badly tuned alarms, and other measurement problems.
WHAT-IF SCENARIO ANALYSIS
Helps the operator to predict future consequences of current faults and of actions suggested by the operator. Similar to FMEA and HAZOP, but works on-line from the current situation, and handles all combinations of multiple faults.
Calculates availability and reliability according to IEC 61508, off-line as well as on-line. Also known as probability and safety analysis (PSA).
Suggests plans for solving problems found by other diagnostic functions.
Monitors the process on-line and discovers badly tuned alarms, that is, alarms that are activated too often or too seldom.
Monitors measurements in historical databases and uses statistical algorithms to provide early warning and fault prediction. In this way, corrective actions can be taken before faults occur.
All diagnostic functions above are executed in a GoalArt Diagnostic Station.
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Sensor Fault Detect
GoalArt, Scheelevägen 17, 223 63 Lund, Sweden, Phone: +46 46 286 4880, Fax: +46 46 286 4882, E-mail: firstname.lastname@example.org, Web: www.goalart.com.