WO2002099411A1

WO2002099411A1 - Multi-function stress wave sensor

Info

Publication number: WO2002099411A1
Application number: PCT/US2001/025024
Authority: WO
Inventors: David B. Board
Original assignee: Swantech, L.L.C.
Priority date: 2001-05-30
Filing date: 2001-08-10
Publication date: 2002-12-12
Also published as: EP1390736A1; EP1390736A4

Abstract

A sensor (20) for detecting stress waves for use in a stress wave analysis system. The stress waves are (36) preferably detected in a narrow frequency range of 35-40KHz. At this range, stress waves from friction and impact sources typically propagate through machine structures at detectable amplitudes. In order to maximize the signal to noise ratio of stress waves, relative to background noise and vibration (34), the sensor (20) of the present invention is designed and calibrated with a frequency response and damping features that are specifically tailored for stress wave analysis. The sensor (20) is a multi-functional sensor that can measure a number of logically related parameters for indicating the mechanical condition of a machine. It is often desirable to measure both friction and one or more other parameters for indication of a machine's health where all of the measuring capability of the present invention significantly reduces the acquisition, installation, and maintenance costs of the condition monitoring instrumentation system.

Description

MULTI-FUNCTION STRESS WAVE SENSOR

BACKGROUND OF THE INVENTION

1. Field of the Invention The present invention is generally directed to sensors and particularly to multi-functional sensors that can, using stress wave analysis and a number of logically related parameters, indicate the mechanical condition of a machine.

2. Description of Related Art Stress wave analysis is an ultrasonic instrumentation technique that is used for measurement of friction and shock in mechanical devices. Stress waves are in the form of high frequency structure borne sounds caused by friction between moving parts. The analysis of the stress waves involves the detection and amplification of the high frequency sounds. In addition to the high frequency sounds, other noises and vibration signals are also present, which are not directly related to the stress waves. However, these other signals can interfere with proper analysis of any stress waves emitted by a mechanical device and should be eliminated.

Past attempts at stress wave analysis have incorporated specially selected piezoelectric accelerometers as stress wave sensors. However, these transducers are not specifically designed to detect stress waves, and suffer important shortcomings relative to Analog Signal Conditioning ("ASC") and Digital Signal Processing ("DSP") elements of stress wave analysis instrumentation, such as those shown in Figure 1.

An accelerometer, when used as a stress wave sensor, is often selected to have maximum repeatability of its primary resonant frequency between 30Khz and 40Khz, and its sensitivity at the primary resonant frequency. When secondary resonances are also present in the sensor's frequency response, they are often very difficult, if not impossible, to eliminate, or control, with the same precision as the primary resonance, as shown in Figure 2. Efforts to adjust or control these secondary resonances may also cause unintended and undesirable changes in the sensitivity of the primary resonance.

In addition to the friction measurements made by stress wave sensors to monitor the mechanical condition or "health" of a machine, it is often desirable to measure both friction and one or more other parameters appropriate for indication of a machine's health, where all of the measuring capability is contained in one sensor. Such multi- function sensors can significantly reduce the acquisition, installation, and maintenance costs of the condition monitoring instrumentation system.

Accordingly, what is needed in the art is a sensor having characteristics that receives stress wave signals while discarding background noises and vibrations, and more particularly, a multi-functional sensor that is capable of detecting stress wave signals and one or more other parameters used to measure and monitor the health of a machine or machine components. It is therefore to the effective resolution of the shortcomings of the prior art that the present invention is directed.

BRIEF SUMMARY OF THE INVENTION

The present invention relates to a sensor having characteristics designed specifically for detecting stress waves for use in a stress wave analysis system. In order to eliminate vibration, audible noise and acoustic emission sources that are not directly related to friction and mechanical impact events in operating machinery, it is preferred to detect stress waves in a narrow frequency range, such as, but not limited to, 35Khz to 40KHz. At this frequency range, stress waves from friction and impact sources typically propagate through machine structures at detectable amplitudes.

Thus, in order to maximize the signal to noise ratio of stress waves, relative to background noise and vibration, the sensor of the present invention is designed and calibrated with a frequency response and damping characteristics that are specifically tailored for stress wave analysis.

The sensor of the present invention preferably satisfies the following three criteria:

(a) has a resonant gain of approximately 30 db, at its primary resonant frequency, to assure adequate selective amplification of stress waves;

(b) provide a total energy content of the Resonant Energy Integral within a specified tolerance band (i.e. +/-10% of a standard value) and which can be measurable using standard test equipment and fixtures to produce calibration data that is traceable to recognized standards; and

(c) have its resonant output decay to half amplitude in five cycles or less, and be down to no more than twenty (20%) percent of the initial response in the number of cycles that correspond to the corner frequency of the demodulator's low pass filter.

In an alternate embodiment, a multi-function sensor is provided which, in addition to detecting and measuring friction via stress wave analysis, also measures one or more other parameters which are most complementary to stress wave measurement, such as vibration, fluid pressure and temperature. Accordingly, it is an object of the present invention to provide a sensor having a frequency response and damping characteristics specifically designed for stress wave analysis. It is another object of the present invention to provide a multifunction sensor that is designed to detect stress waves and other logically related parameters that indicate the mechanical condition of machine components.

In accordance with these and other objects which will become apparent hereinafter, the instant invention will now be described with particular reference to the accompanying drawings .

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS Figure 1 is a block diagram of a stress wave analysis system including the stress wave sensor of the present invention;

Figure 2 is a graph illustrating a stress wave sensor frequency response in accordance with the present invention;

Figure 3 is a graph illustrating a stress wave sensor frequency response and a band-pass filter response in accordance with the present invention;

Figure 4 is a graph illustrating a filtered sensor frequency response in accordance with the present invention;

Figure 5 is a graph illustrating a resonant energy integral in accordance with the present invention;

Figure 6 is a graph illustrating "under damping" of a stress wave signal at its resonant frequency in accordance with the present invention;

Figure 7 is a graph illustrating "proper damping" of a stress wave signal at its resonant frequency in accordance with the present invention;

Figure 8 is a graph illustrating a rectified band-pass filter output in accordance with the present invention;

Figure 9 is a graph illustrating a demodulator output in accordance with the present invention; Figure 10 is a graph illustrating a demodulator low-pass filter frequency response in accordance with the present invention;

Figure 11 is a graph illustrating a multiple event demodulator output in accordance with the present invention; and Figure 12 is a block diagram of one embodiment for the stress wave sensor of the present invention.

Figure 13 is a block diagram illustrating a multi -function output utilizing a piezoelectric transducing element in accordance with the present invention.

Figure 14 is a block diagram illustrating a multi-function output utilizing a microelectromechanical resonant structure in accordance with the present invention.

Figure 15 is a block diagram illustrating a multi-function output utilizing a hybrid piezoelectric transducing element and microelectromechanical resonant structure in accordance with the present invention.

DETAILED DESCRIPTION OF THE INVENTION The various characteristics of the present invention stress wave sensor are illustrated in the Figures, with Figure 12 illustrating one embodiment for the components of the stress wave sensor. The stress wave sensor in accordance with the present invention is generally designated as reference numeral 20. The amplitude of stress waves is relatively small as compared to low frequency sources of vibration and audible sound. As such, it is preferred to selectively amplify signals in a desired frequency range (i.e. 35-40 KHz) which are associated with stress wave signals. The chosen frequency range is preferably well above structural vibration frequencies, which are commonly between 0 to 20KHz. The chosen frequency range is also preferably within the range of standard test equipment, and below high frequency acoustic emission sources, which are typically occurring at frequencies over lOOKHz. Though within the scope of the invention, it is not desirable to selectively amplify the stress wave signals electronically, as such techniques also amplify undesired background noise from the noise floor of the electronic circuitry. Thus, to maximize the stress wave signal to noise ratio of stress wave sensor 20, the transducing element 22 of sensor 20 is designed to have a primary resonant frequency preferably between 35KHz and 40KHz. By choosing this preferred frequency range for the resonant response, the desired selective amplification can be accomplished by mechanical means, prior to conversion to an electrical signal which is further processed by ASC and DSP techniques. To assure sufficient selective amplification of the stress wave signals for many common types of machinery, the resonant gain is preferably approximately 30 db. This resonant gain is defined as the ratio of the sensitivity at the primary resonance to the sensitivity at 20KHz.

As seen in Figure 3, the secondary resonances which may be present in a sensor's 20 frequency response may fall within the frequency response curve of a band pass filter ("BPF"), and thus can result in undesirable sensor-to-sensor amplitude variations of a filtered and demodulated stress wave pulse train ("SWPT") .

Another important factor in a stress wave sensor's performance is the overall shape of its frequency response curve. As also seen in Figure 3, the slopes of the sensor's resonant frequency response, as well as the amplitude of the resonances, determine the amplitude of the BPF ' s output. The BPF has a relatively flat response between 35KHz and 40KHz, and a steep roll-off above and below the pass band, down to the noise floor of the BPF circuitry. From Figure 3, the frequency where the high pass roll -off intersects the noise floor can be designated fi, and the frequency where the low pass roll-off intersects the noise floor can be designated f2. As seen in Figure 4, the output of the BPF preferably contains no low frequency signals due to the dynamic response of machine structures (vibration) or audible noise below fi, and no high frequency signals from sources of acoustic emission or secondary resonances at frequencies greater than f₂.

Preferably, stress wave sensors 20 in accordance with the present invention have sensor-to-sensor repeatability within a specified or predetermined range, which in one embodiment can be plus or minus ten (10%) percent, though such range is not considered limiting and other ranges can be used and are considered within the scope of the invention. Additionally, manufacturing and testing process also preferably produce sensors 20 with calibration data that is traceable to recognized standards, when using standard test equipment and fixtures. Thus, a standard method and stimulating each sensor 20 and measuring its output over the frequency range fi to f₂ is preferably devised and applied by the present invention. For creating a standard method of stimulating each sensor 20, a Resonant Energy Integral (Figure 5) can be developed.

After assembly, each sensor 20 is preferably placed on a conventional shaker table commonly used by accelerometer manufacturers. The shaker is preferably set at a specified or predetermined frequency and excites a sensor or unit under test

("UUT") by moving sensor 20 up and down at an amplitude that is preferably equal or approximate to a previously determined reference "g" level of acceleration. Sensor's 20 output is measured and preferably recorded as a value "y" , which is provided in millivolts per g (mv/g) . The excitation frequency of the shaker, is preferably incrementally changed, the amplitude adjusted to achieve the reference "g" level, and another mv/g output value measurement is recorded. This process is repeated at a number ("n"), which can be predetermined, of discrete frequencies over a frequency band ranging from frequency fi to frequency f₂. The repeated process provides the tested sensor's 20 frequency response curve over the frequency

Once the frequency response curve is determined, the Resonant Energy Integral can be computed preferably using a multi-step process. This process preferably consists of the following steps:

(1) sensor's 20 sensitivity at each excitation frequency ("S_n") is multiplied by an attenuation factor (Ab_Pf) . The attenuation factor represents the amount of signal attenuation at the particular frequency due to the frequency response of the BPF. The resultant value from the multiplication is the adjusted sensitivity ("S_na") at frequency f_n. In equation form the following step is represented as:

Sna = (Abpf) (S_n)

(2) adjusted sensitivity S_na is multiplied by the frequency span ("f ") of the individual element of the Resonant Energy Integral that has f_n at its center. The resultant value from the multiplication is the resonant energy of the nth element of the Resonant Energy Integral. In equation form the following step is represented as:

E_rn = (S_na) (fd)

(3) computing the total energy content of the Resonant Energy Integral by summing all of the individual E_rn values for elements 1 through n.

This calculated total energy content of the Resonant Energy Integral represents a preferred measure, and most likely best measurement, of the overall signal output from the band pass filter section of the stress wave analysis ASC.

As seen in Figure 6, the band pass filter output is dominated by the primary resonant frequency. Figure 6 illustrates the time domain response of stress wave sensor's 20 filtered output, due to a single, short duration friction or shock event. The resonant output signal is essentially a damped sign wave that preferably begins at a near zero peak to peak ("p-p") amplitude. When stress waves caused by a high amplitude friction event reach sensor 20, sensor 20 is excited to a zero to peak ("0-p") amplitude of value "d" . After a sufficient number of cycles, sensor's 20 amplitude decays back down to its original near zero p-p amplitude. The period of one complete cycle "t_p", is the reciprocal of the primary resonant frequency f_r. Where the primary resonant frequency is 40KHz, the following period is calculated as: T_p = 1/fr = 1/40,000 cycles/sec = .000025sec.

Stress wave analysis depends upon the modulation of sensor's 20 resonant response. Thus, the damping of sensor 20 is preferred in the modulation amplitude at the frequency that can be obtained at the output of the ASC. The modulation amplitude "m" is defined as the amount of signal decay after a certain number of cycles, such as, but not limited, five cycles, following the initial excitation. As also seen in Figure 6, after the certain number of cycles (i.e. 5), modulation amplitude "m" is less than fifty (50%) percent of the original excitation amplitude "d" . This small amount of modulation is preferably undesirable for the detection of multiple friction events and the accurate measurement of their energy content. As such, the sensor 20 response shown in Figure 6 is considered "under damped" . A properly damped response in accordance with the present invention is illustrated in Figure 7. The response is taken from a sensor 20 preferably with the same resonant frequency. Figure 7 illustrates specifying damping at the resonant frequency, in addition to the Resonant Energy Integral . By damping relatively quickly (Figure 7) , additional shock and friction events will again modulate the signal.

Figures 8 and 9 illustrate the steps preferably involved in the demodulation portion of the stress wave analysis signal conditioning process. The damped sinusoidal output of the band pass filter is full wave rectified (Figure 8) , preferably prior to low pass filtering. The stress wave pulse train is defined as the demodulated output signal from the low pass filter (Figure 9) . The stress wave pulse train preferably has a frequency content from 0Hz to the corner frequency of the low pass filter portion of the demodulation circuitry (See Figure 10) . Sensor 20 can be used in monitoring many different applications (i.e. various shock and friction events from slow speed gear boxes to turbo machinery, etc.), such that its resonant output preferably decays to half amplitude in a specific number of cycles or less. The preferred number of cycles for decaying to half amplitude is five, though such number is not considering limiting and other numbers can be chosen and are considered within the scope of the invention. Furthermore, sensor's 20 resonant output preferably is not more than twenty (20%) percent, or some other determined value, of the initial response "d" in the number of cycles that occur during the time period that corresponds to the corner frequency of the low pass filter.

As an example, where a sensor 20 has a primary resonance of 40KHz, the stress wave signal is preferably damped to less than twenty (20%) percent of its initial amplitude in eight (8) cycles. Figure 11 illustrates a stress wave pulse train for the example, where the friction source excites sensor 20 at a periodic rate of five thousand (5000) times per second. Figure 12 illustrates the major components of one embodiment for a sensor 20 in accordance with the present invention. However other components can be used and are considered within the scope of the invention.

Accordingly, with the present invention the design of stress wave sensor 20 is preferably intimately related to the analog signal conditioning employed to extract the stress wave pulse train signal from broadband sources of excitation that contain in addition to the desired friction and shock events, vibration, audible noise and high frequency acoustic emissions. Sensor's 20 design can also be a function of available calibration test equipment. The transducing element 22 of sensor can be a piezoelectric crystal, or can be based upon Micro Electrical Mechanical Systems (MEMS) technology, or other transducer technology. Sensor 20 preferably satisfies the following three criteria:

(c) have its resonant output decay to half amplitude in five cycles or less, and be down to no more than twenty (20%) percent of the initial response in the number of cycles that correspond to the corner frequency of the low pass filter.

Stress wave sensors 20 communicate with an electronic assembly, which processes the stress wave signal (s) received from sensor (s) 20. The electronic assembly is in communication with sensors 20 via conventional cabling. In lieu of conventional cabling, the sensors can communicate with the electronics through wireless technology.

In one embodiment, sensor 20 can include amplification, band pass filtering and demodulation of the stress wave signal at the sensing element. Alternatively, a non-amplified sensor 20 can also be used, preferably with the use of greater stress wave signal amplification outside the sensing element and a lower noise floor than the preferred amplifying and filtering sensor. Preferably, the stress wave frequency of interest ranges from 20 KHz up. However, other values and ranges can be used and/or analyzed and all are considered within the scope of the invention. To reduce the stress wave signal amplitude range and the signal conditioning electronics' sensitivity sensor 20 may incorporate two features: gain and band pass filtering.

Sensor 20 is suitable for use in many applications that require the detection of an impact event within operating machinery, and all of such applications are considered within the scope of the invention. In an alternate embodiment, sensor 20 is a multi-functional sensor capable of measuring friction as well as additional, logically related parameters, to more accurately determine the mechanical health of a machine.

The additional parameter that is most complementary to stress wave measurement for most condition monitoring applications is vibration. Whether vibration is measured as a displacement, a velocity, or an acceleration, it can be measured with the same transducing element that is used to convert stress waves into electrical signals. Referring to Figure 13, a block diagram illustrating the piezoelectric stress wave and vibration multi-function sensor of the present invention is shown. If transducing element 22 is a piezoelectric crystal, the preferred method of obtaining both vibration and stress wave data from the same sensor is to pass the vibration frequencies by low pass filtering the transducer's electrical output via step 24 and to pass the high frequency resonant response to detect stress waves by parallel band pass filtering the transducer's electrical output via step 26.

The dual function stress wave and vibration sensor 20 of the present invention therefore includes a transducing element 22 with a nearly constant sensitivity to acceleration from a few Hz to several thousand Hz, charge conversion circuitry 30 to convert the charge on the piezoelectric crystal to a time varying voltage waveform, and two parallel filter networks; a Low Pass Filter 24 to pass the vibration frequencies 34, and a Band Pass Filter 26 to pass the stress wave frequencies 36, centered on the crystal's resonant frequency.

The sensor's acceleration output is integrated once for velocity, or twice for a displacement output. In an alternate embodiment, a High Pass Filter 26A replaces the Band Pass Filter 26 to pass the resonant response to the high frequency stress waves. To minimize sensor cost, size and weight, an alternate packaging configuration would move Band Pass Filter 26 or High Pass Filter 26A out of the sensor and include it in the electronic assembly that scans multiple sensors as inputs.

If transducing element 22 is a micro electrical mechanical system (MEMS) device 38, as shown in Figure 14, the MEMS device is designed having a high Q, high frequency resonance, and about a 30 db sensitivity increase in a narrow frequency band between 25 KHz and 45 KHz. MEMS device 38 can also be mounted inside the sensor's body in such a fashion that acceleration induced forces along the sensor's principle axis will cause a shift in the resonant frequency that is a nearly linear function of the acceleration of the sensor body along its principal axis.

In the embodiment depicted in the block diagram of Figure 14, both the stress wave data 36 and vibration data 34 are available on a single time domain waveform that can be carried on a single conductor. Motion Conversion Circuitry 30A converts motion detected by MEMS device 38 and converts it to a varying voltage waveform. The amplitude modulation of this waveform's resonant frequency contains stress wave signal 36, and the frequency modulation of the resonant frequency contains vibration signal 34. Thus the vibration signal can be extracted by frequency demodulation via step 32, and the stress wave signal can be extracted using band pass or high pass filtering (via steps 26 or 26A, respectively) at the transducer's resonant frequency. The sensor's acceleration output 34 can be integrated once for a velocity, or twice for a displacement output. To minimize sensor cost, size and weight, alternate packaging configuration moves band pass filter 26 and frequency demodulation circuitry 32 out of sensor 20 and includes them in the electronic assembly that scans multiple sensors as inputs.

In yet a further embodiment, the existing piezoelectric crystal-based stress wave sensor is modified by the addition of an existing MEMS "accelerometer on a chip" type of circuit. This is shown in Figure 15. MEMS accelerometers of this nature are commercially available and are small enough to be mounted within the stress wave sensor body in similar fashion to the existing piezoelectric charge converter and filter Integrated Circuit chip. This Piezo-MEMS Hybrid design could have a 2 -pin shielded connector, share power and the stress wave signal on one pin, put the MEMS accelerometer output on the other pin, and use the sensor case/cable shield as ground. The "Hybrid Sensor" described above is a low risk and economical approach to combine stress wave sensing with other physical parameters useful in the measurement of a machine's condition. Examples of this would be the integration of parallel sensing and signal conditioning into a common sensor housing for the following parameters: Stress waves and Fluid Pressure;

Stress waves and Temperature;

Stress waves, Fluid Pressure and Temperature;

Stress Waves, Vibration and Fluid Pressure; Stress Waves, Vibration and Temperature; and

Stress Waves, Vibration, Fluid Pressure and Temperature.

Stress Waves, Proximity of Moving Machine Elements

It is within the sprit of the present invention to include not only those parameters listed above, but all parameters having logically complementary characteristics, are technically feasible and will be cost effective.

For sensors with two or more functions, it becomes increasingly impractical to have separate conductors in the sensor cable for each measured parameter. Since the multi- functional sensors of the present invention digitize their measurements, the multiple parameters can be formatted so that they appear sequentially in the overall digital data stream sent over the single conductor to the monitoring device. Since some sensors will be also capable of operating in different modes under command from the monitoring device, it is feasible to tell the multi-function sensor what parameters are required, at what measurement interval they should be acquired and in what order they should be sent back to the monitoring device. These data acquisition sequences can also be dynamically varied as a function of the analysis performed by the monitoring device.

The instant invention has been shown and described herein in what is considered to be the most practical and preferred embodiment. It is recognized, however, that departures may be made therefrom within the scope of the invention and that obvious modifications will occur to a person skilled in the art.

Claims

CLAIMSWhat Is Claimed Is:

1. A multi-function stress wave sensor for detecting, measuring and processing logically complementary input parameter signals indicative of a machine's health, in communication with an electronic assembly, said sensor comprising : a transducing element generating a primary resonant frequency; energy conversion circuitry in communication with said transducing element; and a plurality of filter networks in communication with said energy conversion circuitry for attenuating said signals that fall below a selected frequency, wherein said sensor has a resonant gain of approximately 30 db at its primary resonant frequency to allow for selective amplification of stress waves.

2. The stress wave system of claim 1 wherein said plurality of filter networks includes a band pass filter and a low pass filter.

3. The stress wave sensor of claim 2 wherein said sensor has a resonant output of a specific amplitude, said resonant output decaying to half amplitude by a predetermined number of cycles.

4. The stress wave sensor of claim 3 wherein said predetermined number of cycles is five.

5. The stress wave sensor of claim 3 wherein said resonant output has a peak amplitude of a certain initial value which is reduced to not more than approximately twenty percent of the initial value in a number of cycles that occur during a time period corresponding to a corner frequency of said low pass filter.

6. The stress wave sensor of claim 1 wherein said selected frequency is 20KHz.

7. The stress wave sensor of claim 1 wherein said primary resonant frequency is approximately between 35KHz to 40Khz.

8. The stress wave sensor of claim 1 wherein said transducing element is a piezoelectric crystal.

9. The stress wave sensor of claim 8 further including a body member wherein said piezoelectric crystal is mounted within said body member by at least one restraint member.

10. The stress wave sensor of claim 9 wherein said energy conversion circuitry and said plurality of filter networks are also disposed within said body member.

11. The stress wave sensor of claim 10 further comprising a micro electrical mechanical system circuit disposed within said body member.

12. The stress wave sensor of claim 1 wherein said transducing element is a micro electrical mechanical system.

13. The stress wave sensor of claim 12 further including a body member wherein said micro electrical mechanical system is mounted within said body member by at least one restraint member.

14. The stress wave sensor of claim 2 wherein one of said logically complementary parameters is vibration, said low pass filter allows for passage of vibration frequencies and said band pass filter allows for passage of stress wave frequencies.

15. The stress wave sensor of claim 1 wherein said filter networks comprise a low pass filter to allow for passage of vibration frequencies and a high pass filter to allow for passage of stress wave frequencies.

16. The stress wave sensor of claim 1 wherein said logically complementary input parameter signals are stress waves and fluid pressure.

17. The stress wave sensor of claim 1 wherein said logically complementary input parameter signals are stress waves and temperature.

18. The stress wave sensor of claim 1 wherein said logically complementary input parameter signals are stress waves, fluid pressure and temperature.

19. The stress wave sensor of claim 1 wherein said logically complementary input parameter signals are stress waves, vibration and fluid pressure.

20. The stress wave sensor of claim 1 wherein said logically complementary input parameter signals are stress waves, vibration and temperature.

21. The stress wave sensor of claim 1 wherein said logically complementary input parameter signals are stress waves, vibration, fluid pressure and temperature.

22. The stress wave sensor of claim 1 wherein said logically complementary input parameter signals are stress waves and proximity of rotating machine elements.

23. The stress wave sensor of claim 1 wherein said logically complementary input parameter signals are available in a single time domain waveform that can be transmitted sequentially in a single data stream on a single conductor from said sensor to said electronic assembly.

24. The stress wave sensor of claim 1 wherein the electronic assembly further comprises data acquisition means for instructing the sensor which said input parameters are required, at what time interval each said input parameters are to be acquired at, and in what sequential order said input parameters are to be sent back to the electronic assembly.

25. A multi-function stress wave system for detecting, measuring and processing logically complementary input parameter signals indicative of a machine's health, said system comprising : a sensor including a transducing element generating a primary resonant frequency approximately between 35KHz to 40KHz and energy conversion circuitry in communication with said transducing element, said sensor having a resonant gain of approximately 30 db at its primary resonant frequency to allow for selective amplification of stress waves, said sensor having a resonant output of a specific amplitude, said resonant output decaying to half amplitude by a predetermined number of cycles; and an electronic assembly including a plurality of filter networks in communication with said energy conversion circuitry for attenuating received signals that fall below a selected frequency of approximately 20KHz.

26. The stress wave system of claim 25 wherein said plurality of filter networks include a low pass filter and a band pass filter.

27. The stress wave system of claim 25 wherein said predetermined number of cycles is five.

28. The stress wave system of claim 26 wherein said resonant output has a peak amplitude of a certain initial value which is reduced to not more than approximately twenty percent of the initial value in a number of cycles that occur during a time period corresponding to a corner frequency of said low pass filter.

29. The stress wave system of claim 25 wherein said transducing element is a piezoelectric crystal.

30. The stress wave system of claim 29 further including a body member situated within said sensor wherein said piezoelectric crystal is mounted within said body member by at least one restraint member.

31. The stress wave system of claim 25 wherein said energy conversion circuitry and said plurality of filters are also disposed within said body member.

32. The stress wave system of claim 31 further comprising a micro electrical mechanical system circuit disposed within said body member.

33. The stress wave system of claim 25 wherein said transducing element is a micro electrical mechanical system.

34. The stress wave system of claim 33 further including a body member wherein said micro electrical mechanical system is mounted within said body member by at least one restraint member.

35. The stress wave system of claim 26 wherein one of said logically complementary input parameter signals is vibration, said low pass filter allows for passage of vibration frequencies and said band pass filter allows for passage of stress wave frequencies.

36. The stress wave system of claim 25 wherein said filter networks comprise a low pass filter to allow for passage of vibration frequencies and a high pass filter to allow for passage of stress wave frequencies.

37. The stress wave system of claim 25 wherein said logically complementary input parameter signals are stress waves and fluid pressure.

38. The stress wave system of claim 25 wherein said logically complementary input parameter signals are stress waves and temperature.

39. The stress wave system of claim 25 wherein said logically complementary input parameter signals are stress waves, fluid pressure and temperature.

40. The stress wave system of claim 25 wherein said logically complementary input parameter signals are stress waves, vibration and fluid pressure.

41. The stress wave system of claim 25 wherein said logically complementary input parameter signals are stress waves, vibration and temperature.

42. The stress wave system of claim 25 wherein said logically complementary input parameter signals are stress waves, vibration, fluid pressure and temperature.

43. The stress wave system of claim 25 wherein said logically complementary input parameter signals are stress waves and proximity of moving machine elements.

44. The stress wave system of claim 25 wherein said logically complementary input parameter signals are available in a single time domain waveform that can be transmitted sequentially in a single data stream on a single conductor from said sensor to said electronic assembly.

45. The stress wave sensor of claim 25 wherein the electronic assembly further comprises data acquisition means for instructing the sensor which said input parameters are required, at what time interval each said input parameters are to be acquired at, and in what sequential order said input parameters are to be sent back to the electronic assembly.