System for determining a state of an apparatus, having: a capture device which is designed to capture at least two operating parameters (x1, x2) of the apparatus during its operation, wherein the captured operating parameters (x1, x2) are captured as parts of a respectively corresponding operating parameter maximum value; and a computing device which is designed to implement an operating point module, a trained support vector machine, SVM, and an output module; wherein the operating point module is designed to generate an operating point in an n-dimensional operating parameter space from the at least two captured operating parameters (x1, x2), where n is greater than or equal to two; wherein the trained SVM is designed and trained to divide the n-dimensional operating parameter space into at least three classification volumes (51, 52) which each indicate different states of the apparatus; wherein a first classification volume indicates a normal state of the apparatus, and wherein a second classification volume and a third classification volume indicate different fault states of the apparatus; wherein the trained SVM is also designed to assign the operating point generated by the operating point module to one of the classification volumes (51, 52); and wherein the output module is designed to determine a state of the apparatus according to that classification volume (51, 52) to which the generated operating point was assigned by the trained SVM and to output an output signal indicating at least the determined state of the apparatus, characterized in that the computing device is also designed to implement an evaluation module which is designed: - to determine a respective normal vector (N1, N2) to every plane or hyperplane which separates the first classification volume, which identifies the normal state of the apparatus, from one of the classification volumes which indicate a fault state of the apparatus, and - to determine and output, for each of the determined normal vectors (N1, N2), the value of the entry with the greatest absolute value for the normal vector (N1, N2). a capture device which is designed to capture at least two operating parameters (x1, x2) of the apparatus during its operation, wherein the captured operating parameters (x1, x2) are captured as parts of a respectively corresponding operating parameter maximum value; and a computing device which is designed to implement an operating point module, a trained support vector machine, SVM, and an output module; wherein the operating point module is designed to generate an operating point in an n-dimensional operating parameter space from the at least two captured operating parameters (x1, x2), where n is greater than or equal to two; wherein the trained SVM is designed and trained to divide the n-dimensional operating parameter space into at least three classification volumes (51, 52) which each indicate different states of the apparatus; wherein a first classification volume indicates a normal state of the apparatus, and wherein a second classification volume and a third classification volume indicate different fault states of the apparatus; wherein the trained SVM is also designed to assign the operating point generated by the operating point module to one of the classification volumes (51, 52); and wherein the output module is designed to determine a state of the apparatus according to that classification volume (51, 52) to which the generated operating point was assigned by the trained SVM and to output an output signal indicating at least the determined state of the apparatus, characterized in that the computing device is also designed to implement an evaluation module which is designed: - to determine a respective normal vector (N1, N2) to every plane or hyperplane which separates the first classification volume, which identifies the normal state of the apparatus, from one of the classification volumes which indicate a fault state of the apparatus, and - to determine and output, for each of the determined normal vectors (N1, N2), the value of the entry with the greatest absolute value for the normal vector (N1, N2). - to determine a respective normal vector (N1, N2) to every plane or hyperplane which separates the first classification volume, which identifies the normal state of the apparatus, from one of the classification volumes which indicate a fault state of the apparatus, and - to determine and output, for each of the determined normal vectors (N1, N2), the value of the entry with the greatest absolute value for the normal vector (N1, N2).