A data analysis system including a detection instrument and a data processing system , wherein the detection instrument comprises a chromatography-mass spectrometry system and an instrument controller , and wherein the data processing system comprises a matrix generator , a matrix classifier and data storage ; the chromatography-mass spectrometry system of the detection instrument being configured to: perform a series of diagnostic routines using the chromatography-mass spectrometry system to generate a raw data set; and provide the raw data set to the matrix generator of the data processing system ; the matrix generator being configured to: receive the raw data set; generate a multidimensional matrix image representing the raw data set with a pixel location corresponding to one of the series of diagnostic routines and a time point during the diagnostic routine, and a color value of the pixel corresponding to a measured value of the diagnostic routine; and provide the multidimensional matrix image to the matrix classifier ; and wherein the matrix classifier is configured to: receive the multidimensional matrix image from the matrix generator ; and determine a class of the multidimensional matrix image from a plurality of matrix classes using a trained neural network, the class indicating nominal operation or a corrective action necessary to bring the detection instrument into nominal operation. the chromatography-mass spectrometry system of the detection instrument being configured to: perform a series of diagnostic routines using the chromatography-mass spectrometry system to generate a raw data set; and provide the raw data set to the matrix generator of the data processing system ; perform a series of diagnostic routines using the chromatography-mass spectrometry system to generate a raw data set; and provide the raw data set to the matrix generator of the data processing system ; the matrix generator being configured to: receive the raw data set; generate a multidimensional matrix image representing the raw data set with a pixel location corresponding to one of the series of diagnostic routines and a time point during the diagnostic routine, and a color value of the pixel corresponding to a measured value of the diagnostic routine; and provide the multidimensional matrix image to the matrix classifier ; and receive the raw data set; generate a multidimensional matrix image representing the raw data set with a pixel location corresponding to one of the series of diagnostic routines and a time point during the diagnostic routine, and a color value of the pixel corresponding to a measured value of the diagnostic routine; and provide the multidimensional matrix image to the matrix classifier ; and wherein the matrix classifier is configured to: receive the multidimensional matrix image from the matrix generator ; and determine a class of the multidimensional matrix image from a plurality of matrix classes using a trained neural network, the class indicating nominal operation or a corrective action necessary to bring the detection instrument into nominal operation. receive the multidimensional matrix image from the matrix generator ; and determine a class of the multidimensional matrix image from a plurality of matrix classes using a trained neural network, the class indicating nominal operation or a corrective action necessary to bring the detection instrument into nominal operation. <EOS>