Diagnostic method, system and device for a rotorcraft drive system
First Claim
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1. A method of diagnosing an anomaly of a monitored component in a drive train, the method comprising:
- obtaining, by the device configured to diagnose an anomaly, rotational information associated with the component;
receiving, by a 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 (ADC), 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.
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Abstract
A method, system, and device for diagnosing an anomaly of a monitored component in a drive train, the method including obtaining rotational information associated with the component; receiving original data indicating the toothmesh frequency of the drive train; filtering the original data to remove energy above the toothmesh frequency; interpolating the filtered original data to generate an integer number of samples per tooth passage; and generating an amplified differential coherence (ADC). In some embodiments, an amplified differential coherence gearbox arrangement value (ADCT) is generated.
32 Citations
20 Claims
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1. A method of diagnosing an anomaly of a monitored component in a drive train, the method comprising:
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obtaining, by the device configured to diagnose an anomaly, rotational information associated with the component; receiving, by a 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 (ADC), 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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A device configured to diagnose an anomaly of a monitored component in a drive train, the device comprising
a memory configured to store original data indicating a toothmesh frequency of the drive train; one or more processors in communication with the memory, the one or more processors being configured to; obtain rotational information associated with the component; receive the original data indicating a toothmesh frequency; filter the original data to remove the energy above the toothmesh frequency; interpolate the filtered original data to generate an integer number of samples per tooth passage; and generate an amplified differential coherence (ADC), wherein the step of generate the ADC comprises the following steps; (i) determine 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, where T is the number of teeth on the monitored component; (ii) determine 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) subtract the second intermediary amplified differential coherence from the first intermediary amplified differential coherence to generate a third intermediary amplified differential coherence value; and (iv) calculate the ADC using the third intermediary amplified differential coherence value; and track the ADC over flight hours to determine a healthy or unhealthy condition of the drive train. - View Dependent Claims (12, 13, 14, 15, 16)
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17. A system for diagnosing an anomaly of a monitored component in a drive train, the system comprising:
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a rotorcraft comprising a body, a power train coupled to the body and comprising a power source and a drive train coupled to the power source; a vibration sensor system coupled to the drive train; and a diagnostic device associated with the vibration sensor system, the diagnostic device operable to; obtain rotational information associated with the component; receive original data indicating a toothmesh frequency of the drive train; filter the original data to remove the energy above the toothmesh frequency; interpolate the filtered original data to generate an integer number of samples per tooth passage; and generate an amplified differential coherence (ADC), wherein the step of generate the ADC comprises the following steps; (i) determine 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, where T is the number of teeth on the monitored component; (ii) determine 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) subtract the second intermediary amplified differential coherence from the first intermediary amplified differential coherence to generate a third intermediary amplified differential coherence value; and (iv) calculate the ADC using the third intermediary amplified differential coherence value; and track the ADC over flight hours to determine a healthy or unhealthy condition of the drive train. - View Dependent Claims (18, 19)
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20. A non-transitory computer-readable storage medium encoded with instructions that, when executed, cause one or more processors of a computing device to diagnose an anomaly of a monitored component in a drive train to:
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obtain rotational information associated with the component; receive original data indicating a toothmesh frequency of the drive train; filter the original data to remove the energy above the toothmesh frequency; interpolate the filtered original data to generate an integer number of samples per tooth passage; and generate an amplified differential coherence (ADC), wherein the step of generate the ADC comprises the following steps; (i) determine 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, where T is the number of teeth on the monitored component; (ii) determine 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) subtract the second intermediary amplified differential coherence from the first intermediary amplified differential coherence to generate a third intermediary amplified differential coherence value; and (iv) calculate the ADC using the third intermediary amplified differential coherence value; and track the ADC over flight hours to determine a healthy or unhealthy condition of the drive train.
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Specification