A study on the quantitative single and dual fault diagnosis of residential split type air conditioners in static operation using support vector machine method

lFault diagnosis for single and dual failure for air conditioners using SVM method.lBased on the existing sensors only.lMachine learning based on the database obtained from refrigeration cycle simulation.lFailure mode was detected with an accuracy of higher than 88%.lFailure level was predicted within ±10% of actual data.