PROCESS FOR REFRIGERANT CHARGE LEVEL DETECTION USING A NEURAL NET HAVING ONE OUTPUT NEURON

摘要

The invention is a process for determining the charge level of a vapor cycle environmental control system, having a condenser, evaporator, and an expansion valve, comprising the steps of providing a neural network having four input neurons, two hidden neurons and one output neurons; determining the number of degrees below the saturation temperature of the liquid refrigerant exiting the condenser and providing this measurement to the first input neuron; sensing the condenser skink temperature and providing the measurement to the second input neuron; sending either the refrigerant outlet temperature from the condenser of the evaporator exhaust air temperature and providing the measurement to the third input neuron, sensing the evaporator inlet temperature and providing the measurement to the fourth input neuron; and using the trained neural network to monitor the charge level in the system.