Method and apparatus for detection of short stress waves

• US 8,880,364 B2
• Filed: 03/15/2012
• Issued: 11/04/2014
• Est. Priority Date: 03/27/2011
• Status: Active Grant

• Current Assignee: Zbigniew Czyzewski
• Original Assignee: Zbigniew Czyzewski
• Inventors: Czyzewski, Zbigniew
• Primary Examiner(s): Bui, Bryan
• Application Number:
  US13/421,632
• Publication Number:
  US 20120245867A1
• Time in Patent Office: 964 Days
• Field of Search: 702/56
• US Class Current: 702/56
• CPC Class Codes: G01H 1/12 of longitudinal or not specified vibrations

Abstract

Systems, apparatuses, and methods for measuring microscopic vibration of machines, which include the use of a selectable high pass or band pass filter and an average power processor unit, among other things.

Claims

1. A method for sensing and analyzing the stress waves and other similar short term vibration events, comprising the steps of:

sensing motion comprising of a stress wave or short term vibration event and macro scale vibration component, and converting the motion into some kind of measurable signal;

separating the stress wave or short term vibration event from macro scale vibration component with a high or band pass filter applied to the measurable signal, wherein the resulting filtered signal is proportional to the stress wave or other short term vibration event;

acquiring and digitizing the filtered signal;

processing the digitized filtered signal for each predetermined interval of time (macro-sample time interval) using a short term energy measure or average signal power calculated over a short time window being a fraction of said predetermined interval of time, wherein calculations are performed using sliding time window and are done for every distinct time window position within the predetermined interval of time;

creating multiple output signals by selecting a maximum short term energy value calculated for said predetermined interval of time from all other short term energy values calculated for said predetermined interval using sliding short time window, wherein the multiple signals are created by changing the duration of the sliding window; and

performing multiple Fast Fourier Transforms (FFT) to determine a presence of stress wave and characterize its duration.

2. The method of claim 1, wherein the duration of said short term window for average power calculations is configurable to at least two different values and calculations of the average power for different window durations are performed simultaneously.

3. The method of claim 1, wherein the measurable signal is an electrical or an optical signal.

4. The apparatus for sensing and analyzing the stress waves and other similar short term vibration events, comprising:

a vibration sensor;

a signal conditioner with high pass or band pass filter;

a digital acquisition unit

a processor; and

a memory or programmable logic device which stores a program configured for implementing the following steps;

sensing motion comprising of a stress wave or short term vibration event and macro scale vibration component, and converting the motion into some kind of measurable signal;

separating the stress wave or short term vibration event from macro scale vibration component with a high or band pass filter applied to the measurable signal, wherein the resulting filtered signal is proportional to the stress wave or other short term vibration event;

acquiring and digitizing the filtered signal;

processing the digitized filtered signal for each predetermined interval of time (macro-sample time interval) using a short term energy measure or average signal power calculated over a short time window being a fraction of said predetermined interval of time, wherein calculations are performed using sliding time window and are done for every distinct time window position within the predetermined interval of time;

creating multiple output signals by selecting a maximum short term energy value calculated for said predetermined interval of time from all other short term energy values calculated for said predetermined interval using sliding short time window, wherein the multiple signals are created by changing the duration of the sliding window; and

performing multiple Fast Fourier Transforms (FFT) to determine a presence of stress wave and characterize its duration.