Detecting and diagnosing faults in HVAC equipment
AssigneeMitsubishi Electric Research Laboratories, Inc.
InventorsDaniel N. Nikovski, Ajay Divakaran, Regunathan Radhakrishnan, Kadir A. Peker
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Abstract
A method and system detects and diagnoses faults in heating, ventilating and air conditioning (HVAC) equipment. Internal state variables of the HVAC equipment are measured under external driving conditions. Expected internal state variables are predicted for the HVAC equipment operating under the external driving conditions using a locally weighted regression model. Features are determined of the HVAC based on differences between the measured and predicted state variables. The features are classified to determine a condition of the HVAC equipment.
Claims10
A method for detecting and diagnosing faults in heating, ventilating and air conditioning (HVAC) equipment, comprising the steps of:
- measuring internal state variables of HVAC equipment operating under external driving conditions;
- predicting expected internal state variables for the HVAC equipment operating under the external driving conditions using a locally weighted regression model;
- determining features of the HVAC based on differences between the measured and predicted state variables;
- and
- classifying the features to determine a condition of the HVAC equipment.
A system for detecting and diagnosing faults in heating, ventilating and air conditioning (HVAC) equipment, comprising the steps of:
- sensors configured to measure internal state variables of HVAC equipment operating under external driving conditions;
- a locally weighted regression model configured to predict expected internal state variables for the HVAC equipment operating under the external driving conditions using;
- means for determining features of the HVAC based on differences between the measured and predicted state variables;
- and
- a classifier configured to classify the features to determine a condition of the HVAC equipment.
Dependencies are inferred from the claim text.