Method for providing a predicted binary process signal of a first sensor for an automation controller, which controls an industrial process, wherein an input module acquires further process signals (S2,S3,S4) of further sensors (2,3,4) in addition to the binary process signal to be predicted of the first sensor, wherein, from the process signals (S1,S2,S3,S4), a signal profile (x 1(t),x 2(t),x 3(t),x 4(t)) with its respective temporal assigned values (x 1(t),x 2(t),x 3(t),x 4(t)) is in each case temporarily stored for a predeterminable interval, and wherein in order to later compensate for a delay between an actual occurrence of the binary process signal at the first sensor and a subsequent processing of the binary process signal in the automation controller, firstly a learning phase for a neural network is performed, wherein after the learning phase is completed, an operating phase is performed, - in the learning phase, at a switching moment (t s), namely the moment at which the binary process signal indicates a first edge change from logical zero to logical one or a second edge change from logical one to logical zero, the temporarily stored values (x 2( t s- Tx),x 3( t s- Tx),x 4( t s- Tx)) of the signal profiles (x 2(t), x 3(t),x 4(t)) at a learning moment (t s -Tx), which is produced from the switching moment (t s) minus a prediction interval (Tx), are supplied to the neural network as a stimulating input signal pattern (M1,...,M5), wherein the input signal pattern (M1,...,M5) is assigned the corresponding edge change (F1,F2), and wherein - in the operating phase the further signal profiles (x 2(t),x 3(t),x 4(t)) are monitored in such a manner that current values (x 2(t),x 3(t),x 4(t)) from the signal profiles (x 2(t),x 3(t),x 4(t)) are supplied to the neural network as an input signal pattern (M1,...,M5) to be evaluated and, if a learned input signal pattern (M1,...,M5) corresponds with a supplied input signal pattern, the associated edge change (F1,F2) is made available to the automation controller as a predicted value for the binary process signal. - in the learning phase, at a switching moment (t s), namely the moment at which the binary process signal indicates a first edge change from logical zero to logical one or a second edge change from logical one to logical zero, the temporarily stored values (x 2( t s- Tx),x 3( t s- Tx),x 4( t s- Tx)) of the signal profiles (x 2(t), x 3(t),x 4(t)) at a learning moment (t s -Tx), which is produced from the switching moment (t s) minus a prediction interval (Tx), are supplied to the neural network as a stimulating input signal pattern (M1,...,M5), wherein the input signal pattern (M1,...,M5) is assigned the corresponding edge change (F1,F2), and wherein - in the operating phase the further signal profiles (x 2(t),x 3(t),x 4(t)) are monitored in such a manner that current values (x 2(t),x 3(t),x 4(t)) from the signal profiles (x 2(t),x 3(t),x 4(t)) are supplied to the neural network as an input signal pattern (M1,...,M5) to be evaluated and, if a learned input signal pattern (M1,...,M5) corresponds with a supplied input signal pattern, the associated edge change (F1,F2) is made available to the automation controller as a predicted value for the binary process signal.