Diagnostic method, system and device for a rotorcraft drive system
AssigneeBell Helicopter Textron Inc.
InventorRodney Keith Hale
Life of this patent
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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.
Claims20
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.
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.
A system for diagnosing an anomaly of a monitored component in a drive train, the system comprising:
- 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.
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:
- 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.
Dependencies are inferred from the claim text.