Patent ID: 11966218
Assignee: MITSUBISHI ELECTRIC CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 13:
14. A diagnosis method comprising:
acquiring, with processing circuitry, a series of input values from a device having a signal source in a factory via a network;
diagnosing, with the circuitry, a diagnosis of presence or absence of abnormality from a distance between an input vector and a predetermined first reference vector and an angle between the input vector and a predetermined second reference vector, the input vector having, as components, the input values of the acquired series; and
outputting the diagnosis, wherein
the method further includes
diagnosing the presence or absence of abnormality from a weighted sum of the first index value and the second index value,
learning the first reference vector and the second reference vector from a learning signal,
acquiring the learning signal and the input signal,
learning the first reference vector and the second reference vector from the learning signal,
calculating respective weights of the first and second reference vectors in accordance with results of the learning, and
the weighted sum is equal to a sum of values obtained by multiplying the first index value and the second index value by the respective weights calculated, the first index value indicating the distance between the input vector and the first reference vector, the second index value indicating the angle between the input vector and the second reference vector, and wherein the method further includes
cutting out, from the learning signal, a plurality of series of learning values, to generate multiple learning vectors that each have, as components, the learning values of a series of the plurality of series,
performing clustering in accordance with a distance between the learning vectors, to learn the first reference vector, and
performing clustering in accordance with an angle between the learning vectors, to learn the second reference vector.