Remote self-powered structure monitor

• US 6,192,759 B1
• Filed: 02/02/1999
• Issued: 02/27/2001
• Est. Priority Date: 08/31/1994
• Status: Expired due to Fees

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Schoess, Jeffrey N.
• Primary Examiner(s): MOLLER, RICHARD ALAN
• Application Number:
  US09/241,453
• Time in Patent Office: 756 Days
• Field of Search: 73/583, 73/579, 73/587, 73/801, 73/802, 340/665, 340/870.16, 364/508, 310/328, 382/181, 382/190, 382/207
• US Class Current: 73/583
• CPC Class Codes: G01H 1/003 of rotating machines G01H1/10 takes precedence
• CPC Class Codes: G01H 11/08 using piezoelectric devices
• CPC Class Codes: G01M 5/0033 by determining damage, crack or wear
• CPC Class Codes: G01M 5/0066 by exciting or detecting vibration or acceleration vibration testing of structures G01M7/00
• CPC Class Codes: G01N 2291/014 Resonance or resonant frequency
• CPC Class Codes: G01N 2291/0289 Internal structure, e.g. defects, grain size, texture
• CPC Class Codes: G01N 2291/101 one transducer
• CPC Class Codes: G01N 2291/2693 Rotor or turbine parts
• CPC Class Codes: G01N 29/14 using acoustic emission techniques echo of particles G01N29/046; measuring mechanical vibrations or acoustic waves in solids in general G01H1/00
• CPC Class Codes: G01N 29/42 by frequency filtering or by tuning to resonant frequency
• CPC Class Codes: G01N 29/46 by spectral analysis, e.g. Fourier analysis or wavelet analysis spectral signal processing per se G06F17/14

Abstract

An acoustic rotor monitor that is an autonomous self-powered measurement instrument which can detect embedded and hidden fatigue cracks in remotely inaccessible devices such as helicopter rotor system components. A predictive maintenance-related problem for rotor craft is the detection of fatigue cracks as a continuous real-time monitoring process under dynamic rotor system loading conditions. The rotor monitor focuses on the embedding an acoustic emission-based smart sensor directly into the rotor system to measure the high frequency stress waves indicating that a structural crack has propagated as a “self-powered” measurement without reducing structural integrity.

Claims

1. A method for determining the growth of a fatigue crack in a remote metal rotating structural member, comprising the following steps:

detecting the acoustic sound transmitted by a remote metal rotating structural member in response to a transient load using a sensor having a power storage device positioned to provide a signal enhancing inertial load from said sensor;

analyzing the detected sound waveform shape including determining the amplitudes of the fundamental, harmonic and non-harmonic frequencies;

providing a waveform library having a plurality of defined waveform shapes corresponding to the acoustic sound transmitted by the remote metal rotating structural member in response to a transient load which exceeds the elastic load limit of the remote metal rotating structure'"'"'s material;

subjecting the remote metal rotating structural member to an unknown transient load, each transient load being applied for a different duration, within a range of durations;

detecting the waveform shape of the remote metal rotating structural member in response to the unknown transient force (i.e. strain) applied to the structure of interest by the load, including the determined peak amplitude of the acoustic signature, the duration of the signature, and the determined amplitudes of the fundamental, the distribution of frequency content, and the harmonic and non-harmonic frequencies of acoustic signature;

determining the type of structural acoustic signature by selecting from the waveform shape library the waveform of a remote metal rotating structural member;

comparing the acoustic signature events detected in the remote metal rotating structure monitor;

determining crack growth by comparing an equivalent FFT representation of acoustic signature with a plurality of threshold acoustic signatures converted into equivalent frequencies; and

performing pattern recognition for classifying the acoustic signature for structural health assessment.

2. The method of claim 1, wherein said sensor comprises acoustic emission energy PVDF piezoelectric transducer mounted on the remote metal rotating structure to be monitored for detecting the condition of a structure using non repetitive high frequency acoustic emission events of 1 to 10 MHz.

3. The method of claim 2, including the step of connecting a radio frequency telemetry circuit to said power storage device to transmit data identifying crack propagation and transmit power to said power storage device.

4. The method of claim 1, wherein said sensor is a piezo acoustic emission sensor having a plurality of piezo-electric layers and a plurality of elastomeric layers situated between the plurality of piezo-electric layers such that the piezo-electric and elastomeric layers are stacked on one another alternately in that one elastomeric layer is situated between adjacent piezo-electric layers, wherein said sensor outputs the electrical power signals due to compression, stretching and/or bending of the plurality of piezo-electric layers, caused by vibration of the remote metal rotating structure.

5. The method of claim 4, wherein said piezo acoustic emission sensor is flexible and conformable to the remote metal rotating structure being monitored.

6. The method of claim 1, wherein a single piezo acoustic emission sensor is used per each remote metal rotating structural member.

7. A method for determining the growth of a fatigue crack in a remote metal rotating structural member, comprising the following steps:

detecting the acoustic sound transmitted by a remote metal rotating structural member in response to a transient load using a sensor having a power storage device positioned to provide a signal enhancing inertial load from said sensor;

analyzing the detected sound waveform shape including determining the amplitudes of the fundamental, harmonic and non-harmonic frequencies;

providing a waveform library having a plurality of defined waveform shapes corresponding to the acoustic sound transmitted by the remote rotating metal structural member in response to a transient load which exceeds the elastic load limit of the structure'"'"'s material;

subjecting the remote metal rotating structural member to an unknown transient load, each transient load being applied for a different duration, within a range of durations;

detecting the waveform shape of the remote metal rotating structural member in response to the unknown transient force (i.e. strain) applied to the structure of interest by the load, including the determined peak amplitude of the acoustic signature, the duration of the signature, and the determined amplitudes of the fundamental, the distribution of frequency content, and the harmonic and non-harmonic frequencies of acoustic signature;

determining the type of structural acoustic signature by selecting from the waveform shape library the waveform of a remote metal rotating structural member;

comparing the acoustic signature events detected in the remote structure monitor;

determining crack growth by comparing an equivalent FFT representation of acoustic signature with a plurality of threshold acoustic signatures converted into equivalent frequencies; and

performing pattern recognition for classifying the acoustic signature for structural health assessment.

8. The method of claim 7, wherein said sensor comprises an acoustic emission energy PVDF piezoelectric transducer mounted on the remote metal rotating structure to be monitored for detecting a condition of the structure using non repetitive high frequency acoustic emission events of 1 to 10 MHz.

9. The method of claim 8, including the step of connecting a radio frequency telemetry circuit to said power storage device to transmit data identifying crack propagation and transmit power to said power storage device.

10. The method of claim 7, wherein said sensor is a piezo acoustic emission sensor having a plurality of piezo-electric layers and a plurality of elastomeric layers situated between the plurality of piezo-electric layers such that the piezo-electric and elastomeric layers are stacked on one another alternately in that one elastomeric layer is situated between adjacent piezo-electric layers, wherein said sensor outputs the electrical power signals due to compression, stretching and/or bending of the plurality of piezo-electric layers, caused by vibration of the remote metal rotating structure.

11. The method of claim 10, wherein said piezo acoustic emission sensor is flexible and conformable to the remote metal rotating structure being monitored.

12. The method of claim 7, wherein a single piezo acoustic emission sensor is used per each remote metal rotating structural member.