A diagnostic arrangement

A diagnostic arrangement for a multivariable process, the arrangement having a data processing module in order to process measurement data of the multivariable process and to perform pre-processed measurement data, and a machine learning module in order to perform machine learning values from the pre-processed measurement data, wherein the diagnostic arrangement comprises an explanation value module for forming explanation values from the machine learning values, and a deviation calculation module to calculate deviations between the explanation values and normal explanation values, deviations between the machine learning values and normal machine learning values, and deviations between the pre-processed measurement data and normal pre-processed measurement data,

• the diagnostic arrangement further comprising at least one estimator, which each estimator is arranged to follow a specific disturbance condition or quality condition of the multivariable process utilizing said deviations, and to form an estimation of severity of the disturbance condition or the quality condition.