Trending of vibration data taking into account torque effect
First Claim
1. A method of indicating a propagating fault in a component, comprising:
- measuring data corresponding to a condition indicator of the component and to an input factor, wherein the condition indicator of the component includes a vibration measure and the input factor is torque;
determining, using at least one processor, a relationship between the condition indicator and the input factor;
determining, using at least one processor, an effect of the input factor on the condition indicator;
determining, using at least one processor, a filtered condition indicator based on the effect of the input factor on the condition indicator; and
determining, using at least one processor, whether a propagating fault is indicated based on a correlation over a time period of the filtered condition indicator with the input factor, wherein the propagating fault is indicated according to the correlation over the time period of the filtered condition indicator with the torque input factor where the effect of the torque input factor on the condition indicator is determined as statistically significant in connection with trending of the filtered condition indicator over the time period.
1 Assignment
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Accused Products
Abstract
In vibration based mechanical diagnostics, algorithms may extract some feature of a component which may be used as a statistic of the components'"'"' health. A measured condition indicator corresponding to the analysis of the components'"'"' health may be a function of transmission error (TE). Because there exists a relationship between TE and the CI for a component that is faulted, the CI is correlated with power transmitted. In drive train components, power may be proportional to measured torque. In terms of diagnostics or trending of a component, it is desirable to reduce the scatter in the measured CI and account for this torque. The relationship between measured CI and torque may be captured over time. An increase in the correlation of torque with the CI would indicate an increase of TE which indicates the propagation of a fault.
21 Citations
17 Claims
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1. A method of indicating a propagating fault in a component, comprising:
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measuring data corresponding to a condition indicator of the component and to an input factor, wherein the condition indicator of the component includes a vibration measure and the input factor is torque; determining, using at least one processor, a relationship between the condition indicator and the input factor; determining, using at least one processor, an effect of the input factor on the condition indicator; determining, using at least one processor, a filtered condition indicator based on the effect of the input factor on the condition indicator; and determining, using at least one processor, whether a propagating fault is indicated based on a correlation over a time period of the filtered condition indicator with the input factor, wherein the propagating fault is indicated according to the correlation over the time period of the filtered condition indicator with the torque input factor where the effect of the torque input factor on the condition indicator is determined as statistically significant in connection with trending of the filtered condition indicator over the time period. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A non-transitory computer readable storage medium storing computer software that determines indication of a propagating fault in a component, the computer software comprising:
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executable code that measures data corresponding to a condition indicator of the component and to an input factor, wherein the condition indicator of the component includes a vibration measure and the input factor is torque; executable code that determines a relationship between the condition indicator and the input factor; executable code that determines an effect of the input factor on the condition indicator; executable code that determines a filtered condition indicator based on the effect of the input factor on the condition indicator; and executable code that determines whether a propagating fault is indicated based on a correlation over time of the filtered condition indicator with the input factor, wherein the propagating fault is indicated according to the correlation over the time period of the filtered condition indicator with the torque input factor where the effect of the torque input factor on the condition indicator is determined as statistically significant in connection with trending of the filtered condition indicator over the time period. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A system for indicating a propagating fault in a component, comprising:
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a first sensor that measures data corresponding to a condition indicator of the component, wherein the condition indicator of the component includes a vibration measure; and a second sensor that measures data corresponding to an input factor, wherein the input factor is torque; and at least one processor that processes the data measured from the first sensor and the second sensor, the at least one processor executing computer software stored on a computer readable storage medium, the computer software comprising; executable code that determines a relationship between the condition indicator and the input factor; executable code that determines an effect of the input factor on the condition indicator; executable code that determines a filtered condition indicator based on the effect of the input factor on the condition indicator; and executable code that determines whether a propagating fault is indicated based on a correlation over time of the filtered condition indicator with the input factor, wherein the propagating fault is indicated according to the correlation over the time period of the filtered condition indicator with the torque input factor where the effect of the torque input factor on the condition indicator is determined as statistically significant in connection with trending of the filtered condition indicator over the time period. - View Dependent Claims (14, 15, 16, 17)
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Specification