Equipment fault detection, diagnostics and disaggregation system
AssigneeHoneywell International Inc.
InventorsJoseph Majewski, Radek Fisera, Mark Anglin, Thomas Gall
Life of this patent
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Abstract
A system for fault detection and diagnostics of equipment. The system may also be capable of disaggregation and/or virtual submetering of energy consumption by equipment, such as that of heating, ventilation and air conditioning, lighting, and so forth, in a building. Vibration and current sensors, along with one or more algorithms, may be utilized for fault detection and diagnostics of equipment. Models may be developed to aid in deducing energy consumption of individual components of equipment, and the like, for a building.
Claims20
A fault detection and diagnostics device for a heating, ventilation, and air conditioning (HVAC) system, the device comprising:
- a current sensor configured to obtain energy use data of a component of the HVAC system;
- a vibration sensor configured to obtain vibration data of the component of the HVAC system;
- and
- a controller operatively coupled to the current sensor and the vibration sensor and configured to receive the energy use data and the current sensor data to create a predictive energy consumption model for the component of the HVAC system, partition the predictive energy consumption model into a set of predictive energy submodels for subparts of the component, compare the set of predictive energy consumption submodels to actual energy consumed by the subparts of the component, and derive a performance degradation for the subparts of the component based on the comparison between the set of predictive energy consumption submodels and the actual energy consumed.
A fault detection and diagnostics system comprising:
- a heating, ventilation, and air conditioning (HVAC) system;
- a current sensor configured to obtain energy use data of a component of the HVAC system;
- a vibration sensor configured to obtain vibration data of the component of the HVAC system;
- and
- a controller operatively coupled to the current sensor and the vibration sensor and configured to receive the energy use data and the current sensor data to create a predictive energy consumption model for the component of the HVAC system, partition the predictive energy consumption model into a set of predictive energy submodels for subparts of the component, compare the set of predictive energy consumption submodels to actual energy consumed by the subparts of the component, and derive a performance degradation for the subparts of the component based on the comparison between the set of predictive energy consumption submodels and the actual energy consumed.
A method of detecting and diagnosing faults for a heating, ventilation, and air conditioning (HVAC) system, the method comprising:
- obtaining energy use data of a component of the HVAC system using a current sensor;
- obtaining vibration data of the component of the HVAC system using a vibration sensor;
- and using a controller operatively coupled to the current sensor and the vibration sensor:
- receive the energy use data and the current sensor data;
- create a predictive energy consumption model for the component of the HVAC system;
- and
- partition the predictive energy consumption model into a set of predictive energy submodels for subparts of the component;
- compare the set of predictive energy consumption submodels to actual energy consumed by the subparts of the component;
- and
- derive a performance degradation for the subparts of the component based on the comparison between the set of predictive energy consumption submodels and the actual energy consumed.
Dependencies are inferred from the claim text.