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What is FDDWorX™

FDDWorX™ is a predictive equipment diagnostic solution that uses an advanced Fault Detection and Diagnostics (FDD) Engine to analyse all available information to detect and predict faults in equipment. It incorporates algorithms that weigh the probability of faults and advises management, operators and maintenance personnel of actions to prevent equipment failures or excessive use of energy.

When equipment failures occur, advanced software technology analyses current and historical information along with symptom/cause relationships that the system has been taught. It then executes probability algorithms and provides the user guidance with a list of probable causes sorted by probability. This immediate guidance reduces mean time to diagnose and repair, reduces equipment downtime, and lowers overall maintenance costs.

The Web-based Workbench offers FDDWorX users an easy setup and deployment process, integrating with the most popular BAS, SCADA, PLC, DAQ and other systems used to monitor equipment conditions. An extensive library of standard HVAC and process equipment diagnostic models speed setup and configuration, while a rules-based editor lets operators easily customise and add new equipment diagnostic models.

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Features & Benefits of FDDWorX™


Automatic Fault Detection and Real-time Notifications

Enable users to predict, reduce and eliminate equipment downtime.


Universal Connectivity

Include integrated OPC, OPC UA, BACnet, SNMP, Modbus and Web Service communications that make it easy to connect to existing equipment with no additional infrastructure.


Robust and Scalable

Built on top of the powerful ICONICS Platform Services, the system is proven to collect data from just a few assets to thousands of assets spanning multi-site deployments.


Quick to Deploy

Plug FDDWorX into an existing network to begin reducing downtime and reducing maintenance cost.


Highly Configurable Visualisation Interface

Analyse results in reduced maintenance time by determining probable causes and allow users to drill-down into the root cause of equipment faults.


Standard Fault Diagnostic Models

Accelerate time to deployment by allowing users to leverage pre-defined models and templates for popular building equipment.


Symptom/Cause Relationships

Aggregate and implement knowledge from manuals, expert employees and historical data.


Probability Algorithms

Intelligently guide solutions and reduce the mean time to diagnose and repair.


Anywhere, Any Time and on Any Platform

Deliver information to desktops, mobile devices and Web browsers, including Microsoft SharePoint® collaboration portals.


Diagnostic Models Drive Automatic Fault Diagnostics

Diagnostic Models are used to determine the most likely causes for a fault, under given conditions. They consist of symptoms and causes, which are laid out in a tabular matrix format so that users may adjust how they relate to one another. The numbers within the matrix affect the weighting that FDDWorX assigns to the various causes, and can correspond to probabilities from equipment manufacturers' user specifications or a study of existing maintenance history. Some users may elect to fine-tune probabilities based on specific knowledge captured from maintenance technicians. A symptom is any state of condition related to specific equipment that the user/manager would consider cause for concern or "alarm". A cause is a reason for a resulting symptom that would create concern or "alarm". Causes and symptoms vary greatly by equipment type, which is why Diagnostic Models are typically defined on a per equipment type basis. A number of Diagnostic Models are included with FDDWorX, and users are free to create their own models as desired.


Powerful Visualisation Dashboards Guide Corrective Actions

FDDWorX offers predictive software for equipment diagnostics by automatically guiding operators and maintenance personnel to the probable causes of equipment inefficiencies, with powerful visualisation capability. Configure side-by-side comparison charts to quickly and visually pinpoint trends on similar types of equipment, comparably sized facility


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