Method for controlling process events using neural network

Claim 1

A method for controlling process events of a technical plant, which comprises: collecting variables relevant to a process; realizing a topology-maintaining nonlinear projection of data from the variables onto a multidimensional self-organizing neural map; displaying a trajectory of process events by connecting visualized process states graphically; displaying reference channels with adjustable tolerance widths on the map; evaluating the variables in relation to one another using the neural map; controlling process events in accordance with the evaluating step; evaluating sequences of process states using the reference channels; detecting if a trajectory deviates from one of the reference channels; evaluating a winner rate neuron representing a state; and bringing the process back into the reference channel.

Claim 2

A method for controlling process events of a technical plant, which comprises: collecting variables relevant to a process; realizing a topology-maintaining nonlinear projection of data from the variables onto a multidimensional self-organizing neural map; displaying a trajectory of process events by connecting visualized process states graphically; displaying reference channels with adjustable tolerance widths on the map; evaluating the variables in relation to one another using the neural map; controlling process events in accordance with the evaluating step; evaluating sequences of process states using the reference channels; detecting if a trajectory deviates from one of the reference channels; evaluating a winner rate neuron representing a state; and bringing the process back into the reference channel.

Claim 3

A method of controlling process events of a technical plant, comprising: selecting process variables; developing a self-organizing, neural network in a state space of a plant, on a basis of a self-organizing neural algorithm using process values of the process variables; representing the self-organizing neural network as a neural map; determining plant states from the process variables; producing a reference channel of permissible process events by projecting the plant states onto the neural map; recording the process events by linking the neural map to a process of the plant; displaying a trajectory on the neural map; monitoring whether the trajectory remains within or deviates from the reference channel; and steering the process of the plant over the neural map in real terms in the state space.

Claim 4

A method of controlling process events of a technical plant, comprising: selecting process variables; developing a self-organizing, neural network in a state space of a plant, on a basis of a self-organizing neural algorithm using process values of the process variables; representing the self-organizing neural network as a neural map; determining plant states from the process variables; producing a reference channel of permissible process events by projecting the plant states onto the neural map; recording the process events by linking the neural map to a process of the plant; displaying a trajectory on the neural map; monitoring whether the trajectory remains within or deviates from the reference channel; and steering the process of the plant over the neural map in real terms in the state space.