Abstract: A method for operating a fan system as well as such a fan system. The fan system has a control device having an artificial neural network. The control device controls an electric motor of a backward curved centrifugal fan. The centrifugal fan creates a gas flow that is characterized by an actual flow value, particularly the actual value of a volume flow rate. The actual flow value is not detected by a sensor means, but determined by means of the artificial neural network depending from input variables and based thereon, the electric motor is open loop or closed loop controlled by means of the control device. The motor current and the motor voltage as well as their time-dependent behavior that can be the time derivative (e.g. gradient of first order) or that can be at least one preceding value at a preceding point in time, are provided to an input layer of the artificial neural network.

Abstract: The disclosure relates to a method for determining the positions of a number of fans (Vn,m) for generating an air flow in a preferably enclosed space, which have a speed sensor for determining their position, wherein the fans (Vn,m) are arranged in rows (R1, R2, . . . , Rn) and columns (S1, S2, . . . , Sm), wherein at least the position (i, j) of one fan (Vi,j) is known.

Abstract: A method for determining the positions of a number of fans (Vn,m) for generating an air flow in a preferably enclosed space. The fans (Vn,m) have an acceleration sensor to determine their position. The fans (Vn,m) are arranged in rows (R1, R2, . . . , Rn) and columns (S1, S2, . . . , Sm). At least the position (i, j) of one fan (Vi,j) is known.

Abstract: A method for operating a fan system as well as such a fan system. The fan system has a control device having an artificial neural network. The control device controls an electric motor of a backward curved centrifugal fan. The centrifugal fan creates a gas flow that is characterized by an actual flow value, particularly the actual value of a volume flow rate. The actual flow value is not detected by a sensor means, but determined by means of the artificial neural network depending from input variables and based thereon, the electric motor is open loop or closed loop controlled by means of the control device. The motor current and the motor voltage as well as their time-dependent behavior that can be the time derivative (e.g. gradient of first order) or that can be at least one preceding value at a preceding point in time, are provided to an input layer of the artificial neural network.

Abstract: A method for determining the positions of a number of fans (Vn,m) for generating an air flow in a preferably enclosed space. The fans (Vn,m) have an acceleration sensor to determine their position. The fans (Vn,m) are arranged in rows (R1, R2, . . . , Rn) and columns (S1, S2, . . . , Sm). At least the position (i, j) of one fan (Vi,j) is known.

Abstract: The disclosure relates to a method for determining the positions of a number of fans (Vn,m) for generating an air flow in a preferably enclosed space, which have a speed sensor for determining their position, wherein the fans (Vn,m) are arranged in rows (R1, R2, . . . , Rn) and columns (S1, S2, . . . , Sm), wherein at least the position (i, j) of one fan (Vi,j) is known.