Device Diagnostics

Device Diagnostics/Troubleshooting

You may have been wondering if all devices around the plant can be diagnosed using the same single software. With a system based on EDDL it is easy. The information provided here includes many examples of basic and advanced diagnostics from simple and sophisticated (complex) devices and serves to explain how the device manufacturers make it easy to diagnose their device on any system.

Plants have hundreds or thousands of devices of different types from different manufacturers for which they must continuously monitor the health, and troubleshoot as necessary.

In the past, these devices required a technician to be sent to the field to check diagnostics with a handheld field communicator. Other times the opposite was true, when troubleshooting was done at the device in the field, somebody had to be in the control room to work from the software.

Predictive diagnostics from field devices is now checked using handheld field communicator or intelligent device management software based on EDDL, whichever suits the task at hand best.

EDDL technology makes device troubleshooting easier thanks to user guidance such as wizards as well as know-how made available from the device manufacturer's experts. The result is lower cost of maintenance, and reduced downtime.

What diagnostics intelligent devices provide is not well understood and will therefore be explained in technical white papers and videos below. The importance of EDDL for diagnostics is also explained.

EDDL technology supports small portable field communicators for easy troubleshooting in the field, there is no other way to achieve a comparable result.

Integrated Operation

EDDL enables diagnostics from critical devices to be integrated in DCS operator consoles to be accessed in less than three clicks, displayed as intended by the device manufacturer. Since operators are not forced to come and go between workstations to understand what is happening in their plant, device diagnostics becomes a natural part of daily predictive maintenance work practices.