A method of diagnosing an anomaly of a monitored component in a drive train, the method comprising: obtaining, by a device configured to diagnose an anomaly, rotational information associated with the component; receiving, by the device configured to diagnose an anomaly, original data indicating the toothmesh frequency of the drive train; filtering, by the device configured to diagnose an anomaly, the original data to remove energy above the toothmesh frequency; interpolating, by the device configured to diagnose an anomaly, the filtered original data to generate an integer number of samples per tooth passage; and generating, by the device configured to diagnose an anomaly, an amplified differential coherence, wherein the step of generating the ADC comprises the following steps: (i) determining a first intermediary amplified differential coherence (ADCN), wherein the ADCN is the coherence evaluated at a toothmesh frequency between the first T/2 teeth of revolution i and the first T/2 teeth of revolution i+1 of the monitored component, where T is the number of teeth on the monitored component; (ii) determining a second intermediary amplified differential coherence (ADCS), wherein the ADCS is the coherence evaluated at a toothmesh frequency between the first T/2 teeth of revolution i and the last T/2 teeth of revolution i of the monitored component; (iii) subtracting the second intermediary amplified differential coherence from the first intermediary amplified differential coherence to generate a third intermediary amplified differential coherence value; and (iv) calculating the ADC using the third intermediary amplified differential coherence value; and tracking the ADC over flight hours to determine a healthy or unhealthy condition of the drive train. obtaining, by a device configured to diagnose an anomaly, rotational information associated with the component; receiving, by the device configured to diagnose an anomaly, original data indicating the toothmesh frequency of the drive train; filtering, by the device configured to diagnose an anomaly, the original data to remove energy above the toothmesh frequency; interpolating, by the device configured to diagnose an anomaly, the filtered original data to generate an integer number of samples per tooth passage; and generating, by the device configured to diagnose an anomaly, an amplified differential coherence, wherein the step of generating the ADC comprises the following steps: (i) determining a first intermediary amplified differential coherence (ADCN), wherein the ADCN is the coherence evaluated at a toothmesh frequency between the first T/2 teeth of revolution i and the first T/2 teeth of revolution i+1 of the monitored component, where T is the number of teeth on the monitored component; (ii) determining a second intermediary amplified differential coherence (ADCS), wherein the ADCS is the coherence evaluated at a toothmesh frequency between the first T/2 teeth of revolution i and the last T/2 teeth of revolution i of the monitored component; (iii) subtracting the second intermediary amplified differential coherence from the first intermediary amplified differential coherence to generate a third intermediary amplified differential coherence value; and (iv) calculating the ADC using the third intermediary amplified differential coherence value; and (i) determining a first intermediary amplified differential coherence (ADCN), wherein the ADCN is the coherence evaluated at a toothmesh frequency between the first T/2 teeth of revolution i and the first T/2 teeth of revolution i+1 of the monitored component, where T is the number of teeth on the monitored component; (ii) determining a second intermediary amplified differential coherence (ADCS), wherein the ADCS is the coherence evaluated at a toothmesh frequency between the first T/2 teeth of revolution i and the last T/2 teeth of revolution i of the monitored component; (iii) subtracting the second intermediary amplified differential coherence from the first intermediary amplified differential coherence to generate a third intermediary amplified differential coherence value; and (iv) calculating the ADC using the third intermediary amplified differential coherence value; and tracking the ADC over flight hours to determine a healthy or unhealthy condition of the drive train.