A method for monitoring a structure, wherein the method comprises, under the control of a computing system: receiving, by the computing system, for each of one or more parameters relating to the structure, corresponding measured values of the parameter being measured continually at successive measurement instants by means of a corresponding sensor, estimating, by the computing system, corresponding predicted values of the parameters for each current one of the measurement instants by means of corresponding current versions of corresponding local models, the predicted value of each of the parameters for the current measurement instant being estimated according to the current version of the local model of the parameter applied to the measured values of the parameter at a plurality of the measurement instants preceding the current measurement instant, determining, by the computing system, corresponding classification indicators of the measured values of the parameters for each current measurement instant according to corresponding normal ranges and unexpected ranges of the parameters for the current measurement instant depending on the corresponding predicted values of the parameters, the normal range and the unexpected range of each parameter for the current measurement instant comprising the predicted value and the normal range, respectively, of the parameter for the current measurement instant, wherein the measured value of each parameter at the current measurement instant is classified as normal when within the corresponding normal range, as unexpected when outside the corresponding normal range and within the corresponding unexpected range and as anomalous when outside the corresponding unexpected range for the current measurement instant, adapting, by the computing system, the local model of each parameter in response to an adaptation condition determined according to one or more unexpected measured values of the parameter, the local model of the parameter being adapted according to the normal measured values of the parameter at a plurality of the measurement instants preceding the current measurement instant, estimating, by the computing system, a condition indicator of the structure for each current measurement instant according to the classification indicators of the measured values of the parameters at one or more of the measurement instants comprising the current measurement instant, the condition indicator for the current measurement instant being indicative of an anomalous condition determined according to one or more corresponding anomalous measured values of the parameters or of a normal condition otherwise, and issuing, by the computing system, an alarm notification in response to the anomalous condition to cause human personnel to verify the structure. receiving, by the computing system, for each of one or more parameters relating to the structure, corresponding measured values of the parameter being measured continually at successive measurement instants by means of a corresponding sensor, estimating, by the computing system, corresponding predicted values of the parameters for each current one of the measurement instants by means of corresponding current versions of corresponding local models, the predicted value of each of the parameters for the current measurement instant being estimated according to the current version of the local model of the parameter applied to the measured values of the parameter at a plurality of the measurement instants preceding the current measurement instant, determining, by the computing system, corresponding classification indicators of the measured values of the parameters for each current measurement instant according to corresponding normal ranges and unexpected ranges of the parameters for the current measurement instant depending on the corresponding predicted values of the parameters, the normal range and the unexpected range of each parameter for the current measurement instant comprising the predicted value and the normal range, respectively, of the parameter for the current measurement instant, wherein the measured value of each parameter at the current measurement instant is classified as normal when within the corresponding normal range, as unexpected when outside the corresponding normal range and within the corresponding unexpected range and as anomalous when outside the corresponding unexpected range for the current measurement instant, adapting, by the computing system, the local model of each parameter in response to an adaptation condition determined according to one or more unexpected measured values of the parameter, the local model of the parameter being adapted according to the normal measured values of the parameter at a plurality of the measurement instants preceding the current measurement instant, estimating, by the computing system, a condition indicator of the structure for each current measurement instant according to the classification indicators of the measured values of the parameters at one or more of the measurement instants comprising the current measurement instant, the condition indicator for the current measurement instant being indicative of an anomalous condition determined according to one or more corresponding anomalous measured values of the parameters or of a normal condition otherwise, and issuing, by the computing system, an alarm notification in response to the anomalous condition to cause human personnel to verify the structure.