Smart Building Analytics with Fault Detection and Diagnostics
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Fault Detection and Diagnostic (FDD) analytics are used heavily in industries like aviation and medical equipment. Recent advances in the methodology and usability for Big Data analytics promise to make FDD a powerful tool in delivering more sustainable Smart Buildings.
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Smart Building Analytics with Fault Detection and Diagnostics
- 1. Smart Building Data Analytics: The Emergence of Fault Detection & Diagnostics for Building Efficiency Jim Schwartz Johnson Controls Director, Strategic Marketing Building Technology and Services
- 2. What is FDD? Fault Detection and Diagnostics: Tools for the early detection of abnormalities in systems and the diagnosis of causes to support corrective action before additional deterioration or loss of service occurs. Applications of FDD Aviation Healthcare
- 3. FDD for Building Efficiency Air Handling Units, Chillers, Roof Top Units and other components of building infrastructure Fault detection and diagnosis is not BAS alarm management, but recognition of an condition that could become an alarm
- 4. Faults Provide Insight Before Problems Occur BAS Alarm Panoptix Fault Fault High Alarm 78 F * ? 72 F 66 F * Low Alarm Johnson Controls Proprietary and Confidential ?
- 5. The Panoptix® Building Efficiency Platform MANAGE DATA. Apps transform normalized data into ready-to-use information, accessible on various devices and browsers. GET DATA. BAS equipment and utility meters push disparate data to Panoptix for normalization. The Panoptix® Building Efficiency Platform USE DATA. Take action with reports, recommendations and services powered by Panoptix. Johnson Controls Proprietary and Confidential
- 6. The Panoptix® Continuous Diagnostics Advisor goes beyond FDD rules Rules Based Analysis Statistical Analysis Temporal Analysis Rules are defined by building efficiency experts Regression Analysis Peer Analysis Achieving a New Normal
- 7. Simultaneous Heating and Cooling Fault Johnson Controls Proprietary and Confidential
- 8. Case Study: Western Kentucky University “…it is possible to head off problems before they impact the bottom line.” “We’ve just never had the resources to fully benefit from the volumes of information available to us.” WKU recovered their Panoptix investment in less than six months. • • • • • Bowling Green Kentucky Founded: 1906 Student Population: 21,000 22 buildings in initial roll-out Panoptix expansion underway
Editor's Notes
- GE uses it to support over 25,000 enginesDiagnostics not only reduces operational interruptions by avoiding major engine performance and maintenance issues, it can increase the engine's time-on-wingAllows for the airlines to make optimal maintenance and logistical decisions using condition-based maintenanceWill actually schedule the planes to fly routes based on when and where service work could be done. For example if an engine has met a condition in which it is need of maintenance, the airline will actually strategically route the plane through commercial flights that will place it in the vicinity of a shop capable of the maintenance work. http://www.geaviation.com/services/optimization/diagnostics.htmlhttp://www.ge.com/thegeshow/docs/ge_ivhm_brochure.pdf
- Fault Detection is the recognition of undesirable abnormalities occurring in equipment, systems, spaces, and/or buildings Fault Diagnostics is the isolation of abnormalities root causeClarifications: Detection does not require understanding or determination of the root cause of the faultA "fault" does not have to be the result of a complete system failureFault detection and diagnosis is not alarm management, but recognition of an event that could become an alarm.
- Rules-basedA library of rules is created with the ability of alerting a user to conditions that break the rules, therefore triggering a fault notification. Beyond simple events like A > B but instead using a Complex Event Processing engine. Combines data from multiple sources to infer events or patterns that suggest more complicated circumstances.For example may take into account setpoint and discharge air temperatures, in combination with damper positioning, supply fan status, and outside air temperature. Statistical ModelingTemporal Analysis - relates equipment performance to, or limited by, time and frequency simultaneously. Identifying how a piece of equipment should operate based on past performance, and then “bucketing” that performance into a “typical performance” of a given time period. If the equipment operates outside of the “typical performance” for that given time period a fault will be triggered. Regression Analysis - statistical process for estimating the relationships among variables, thereby projecting expected performance.Similar to machine learning or “building learning” in that the machine or building learns how it is “supposed to behave” given operating conditions, and then a fault notification is triggered if the expected performance does not occur. Predicts the performance of a piece of equipment based on the current operating conditions and triggers a fault if the performance is not met. Peer Analysis - Identifies anomalies amongst groupings of like equipment that are expected to operate with the same control strategy and objectives. Statistically identifies which piece of equipment is not operating in the same behavior as the other like equipment
- In its first 120 days in use at WKU, the Continuous Diagnostics Advisor app detected a range of building system faults such as improper sequencing, improper valve and damper positions, improper ventilation and missed opportunities to reduce peak demand. In addressing the faults, WKU achieved two goals: 1) The university created more comfortable learning environments on campus, and 2) recovered its Panoptix investment in less than six months.