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EP3209981A1 - A method for frequency identification in nhv problems - Google Patents

A method for frequency identification in nhv problems

Info

Publication number
EP3209981A1
EP3209981A1 EP15798580.5A EP15798580A EP3209981A1 EP 3209981 A1 EP3209981 A1 EP 3209981A1 EP 15798580 A EP15798580 A EP 15798580A EP 3209981 A1 EP3209981 A1 EP 3209981A1
Authority
EP
European Patent Office
Prior art keywords
sound
frequency
amplitude
noise
spectrum
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP15798580.5A
Other languages
German (de)
French (fr)
Inventor
Mehmet GÜRER
Ayhan YAGCI
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tofas Turk Otomobil Fabrikasi AS
Original Assignee
Tofas Turk Otomobil Fabrikasi AS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tofas Turk Otomobil Fabrikasi AS filed Critical Tofas Turk Otomobil Fabrikasi AS
Publication of EP3209981A1 publication Critical patent/EP3209981A1/en
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups

Definitions

  • the present invention relates to a method which enables to determine the frequencies of the sounds causing noise problems in NVH (Noise, Vibration, Harshness) area.
  • NVH Noise, Vibration, Harshness
  • Noise and vibration are among the factors affecting the driving comfort of the driver in the vehicle.
  • Noise problems seen in NHV world can comprise a crowded frequency spectrum originating from several problems.
  • For identification and solution of the problem it is required to identify the frequencies of sounds (for example local peak points) with higher amplitude than average in this spectrum.
  • Filtration technique is used for frequency analysis in the state of the art.
  • the recorded sound is subjected to digital filters and suspicious frequencies can be identified.
  • a sound having a dominant harmonic at 300Hz is filtered by applying bad-pass filter in range of 280-320 to the original sound record, it is listened in audio and this filtered range is removed from the total frequency spectrum. Therefore, other remaining sound ranges become almost inaudible, and therefore only problematic frequency is identified by listening.
  • this process requires expensive software modules comprising post process.
  • this process also requires noise free medium, high resolution earphones or loudspeaker; the requirement performing sound listening process in a suitable medium causes time loss as well the costs.
  • the objective of the present invention is to provide a method which enables to identify the noise sources in the vehicles in real-time. More specifically, the objective of the present invention is to provide a method for swiftly identifying which frequency is the sought frequency among several frequencies seems to be suspicious in a NVH noise problem.
  • the suggested technique is used while recording sound in a medium having noise problem, the sound is played externally in frequencies in which the suspicious peaks seen in frequency spectrum in real-time are generated. Therefore, it can be identified easily and swiftly which frequency is the frequency of the sought problem among the suspicious problems with amplitude increase to be generated in the related peak. If the frequency of the noise problem can be identified, it can be known where to look at in the spectrum as a result of improvement steps performed within the scope of noise eliminating/decreasing operations.
  • the fuel pump of the vehicle operates noisy in a disturbing level and if it can be determined that the noise occurs in a certain frequency (for example 118Hz), it can be looked at the change in peak only in the related frequency (which is 118HZ), not to the total noise level in order to see whether this solution works after sound insulation is performed on the pump.
  • the frequency content of a sound occurring in any operating condition of the vehicle for example when the engine is not operational, idle running or moving
  • being of interest to us can overlap with the frequency ranges of sounds emitted by different noise sources in the vehicle that are not of interest to us. In such cases, there are peak points very close to each other in certain frequency range and these all belong to different sound sources.
  • the suggested invention enables to be focused on the right point in the frequency area. Then it can be identified on which noise source should be focused on the vehicle by using the said frequency value.
  • Figure 1 is a frequency spectrum of a sound record received from an automobile the engine of which is in idle running.
  • Figure 2 is the frequency spectrum showing the amplitude increase in 118Hz frequency taken from an automobile the engine of which is in idle running and operating in same conditions and which is among the suspicious frequencies seen in screen of the measurement system.
  • a method for enabling to identify the noise frequencies in the vehicles essentially comprises the steps of collecting all sound together with the noise in the medium and recording to a digital medium,
  • the inventive method enables to identify the problematic frequency by increasing the amplitude of suspicious sounds in the frequency spectrum.
  • a device which can emit sound in broad frequency range (for example 50-12000 Hz) is used. This device emitting sound can be mobile or integrated to the measurement system (data collection device).
  • the said sound generator can be software installed in a digital medium (for example a computer). In case the said sound generator is a separate device or a device integrated to the data collection device, it emits sound to the medium in amplitude suitable for the medium and in a desired frequency.
  • the said device is software installed in a laptop computer, sound can be emitted to the environment through the loudspeaker of the laptop computer.
  • the noise is recorded to a digital medium (for example a computer).
  • a digital medium for example a computer
  • signals coming from sensors such as microphone, accelerometer placed on preferred points on the vehicle are collected by a data collection device and transferred to a digital medium (for example a computer).
  • a digital medium for example a computer
  • several required calculations are made on the collected sound data in real time, and a spectrum graphic is formed in the digital medium.
  • the said spectrum graphic is visually transferred to the user through a screen/monitor in the digital medium in real-time and it is viewed momentarily.
  • a sound generator is manually adjusted to generate sound in suspicious frequencies (S) that will be determined in this spectrum (for example 118, 197, 280 and 387 Hz).
  • the sound generator emits sound in suitable amplitude and suspicious frequency via a loudspeaker to the medium.
  • frequencies corresponding to the engine speed and frequencies known as its multiples for example there are frequencies corresponding to the engine speed and frequencies known as its multiples. Beside these, if there are peaks in frequencies which are not known from which components they are originated, these frequencies are considered to be suspicious. In one embodiment of the invention, these frequencies are considered to be 118, 197, 280 and 387 Hz.
  • Figure - 1 is a frequency spectrum of a sound record received from an automobile the engine of which is in idle running.
  • S suspicious frequencies
  • the 118, 197, 280, and 387 Hz frequencies are in spectrum shown in Figure 1 are suspicious frequencies (S) and other peaks are not related with the noise to be examined.
  • the sound generator is calibrated to a suspicious frequency (S) value (for example 118Hz frequency), and sound generation is enabled in suitable amplitude.
  • the amplitude in the selected suspicious frequency (S) (in the frequency of 188 Hz for this example) in frequency spectrum seen from the screen of the measurement system is increased ( Figure 2). Then, it is determined whether the sound in the frequency with increased amplitude (G) is the problematic noise.
  • This identification process is realized by listening with ear and interpreting the sound with brain. Therefore, it can immediately be understood whether the dominant frequency of the noise heard with ear is the said frequency (S) (118 Hz). If the said noise does not belong to the frequency with increased amplitude (G), the sound generator device is calibrated to the next suspicious frequency (S) value (for example to 197 Hz frequency) and the amplitude in this suspicious frequency (S) is increased. Then, it is queried again whether the sound in the frequency with increased amplitude (G) is the problematic noise. This process is performed repeatedly for each suspicious frequency (S) until the dominant frequency of the noise heard with ear is found.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

The present invention relates to a method, which enables to identify the frequencies of the noises in the vehicles, essentially comprises the steps of collecting all sound together with the noise in the medium and recording to a digital medium, forming a spectrum graphic belonging to the collected sound data, viewing the said spectrum graphic, generating a sound in suitable amplitude in a suspicious frequency (S) to be selected from the spectrum graphic, and increasing only the amplitude of the sound in the said frequency, determining whether the sound in the frequency with increased amplitude (G) is the problematic noise.

Description

DESCRIPTION
A METHOD FOR FREQUENCY IDENTIFICATION IN NHV PROBLEMS
Field of the Invention
The present invention relates to a method which enables to determine the frequencies of the sounds causing noise problems in NVH (Noise, Vibration, Harshness) area.
Background of the Invention Noise and vibration are among the factors affecting the driving comfort of the driver in the vehicle. Noise problems seen in NHV world can comprise a crowded frequency spectrum originating from several problems. For identification and solution of the problem, it is required to identify the frequencies of sounds (for example local peak points) with higher amplitude than average in this spectrum.
For this reason, a significant experience and knowledge is required in order to determine which problem can occur in which frequency range. The frequency of the unknown/sought problem can be queried in other remaining areas or points with higher amplitude after the known sounds (peaks) on the spectrum are separated. However, identification gets difficult in case these unknown high levels are in great number.
Filtration technique is used for frequency analysis in the state of the art. In this technique, the recorded sound is subjected to digital filters and suspicious frequencies can be identified. For example, a sound having a dominant harmonic at 300Hz is filtered by applying bad-pass filter in range of 280-320 to the original sound record, it is listened in audio and this filtered range is removed from the total frequency spectrum. Therefore, other remaining sound ranges become almost inaudible, and therefore only problematic frequency is identified by listening. However this process requires expensive software modules comprising post process. Furthermore this process also requires noise free medium, high resolution earphones or loudspeaker; the requirement performing sound listening process in a suitable medium causes time loss as well the costs.
The Problems Solved with the Invention
The objective of the present invention is to provide a method which enables to identify the noise sources in the vehicles in real-time. More specifically, the objective of the present invention is to provide a method for swiftly identifying which frequency is the sought frequency among several frequencies seems to be suspicious in a NVH noise problem. The suggested technique is used while recording sound in a medium having noise problem, the sound is played externally in frequencies in which the suspicious peaks seen in frequency spectrum in real-time are generated. Therefore, it can be identified easily and swiftly which frequency is the frequency of the sought problem among the suspicious problems with amplitude increase to be generated in the related peak. If the frequency of the noise problem can be identified, it can be known where to look at in the spectrum as a result of improvement steps performed within the scope of noise eliminating/decreasing operations. For example, if the fuel pump of the vehicle operates noisy in a disturbing level and if it can be determined that the noise occurs in a certain frequency (for example 118Hz), it can be looked at the change in peak only in the related frequency (which is 118HZ), not to the total noise level in order to see whether this solution works after sound insulation is performed on the pump. The frequency content of a sound occurring in any operating condition of the vehicle (for example when the engine is not operational, idle running or moving) and being of interest to us can overlap with the frequency ranges of sounds emitted by different noise sources in the vehicle that are not of interest to us. In such cases, there are peak points very close to each other in certain frequency range and these all belong to different sound sources. Since the problematic sound which is interesting can be recognized by listening subjectively, it can be identified which one is the sought sound content between the sound in a similar frequency emitted by a sound source at the same time and the related peak points. The suggested invention enables to be focused on the right point in the frequency area. Then it can be identified on which noise source should be focused on the vehicle by using the said frequency value.
Detailed Description of the Invention
The method realized to fulfill the objectives of the present invention is illustrated in the accompanying figures, in which:
Figure 1 is a frequency spectrum of a sound record received from an automobile the engine of which is in idle running.
Figure 2 is the frequency spectrum showing the amplitude increase in 118Hz frequency taken from an automobile the engine of which is in idle running and operating in same conditions and which is among the suspicious frequencies seen in screen of the measurement system.
The components shown in the figures are each given reference numbers as follows:
S. Suspicious frequency
G: Frequency with increased amplitude A method for enabling to identify the noise frequencies in the vehicles essentially comprises the steps of collecting all sound together with the noise in the medium and recording to a digital medium,
forming a spectrum graphic belonging to the collected sound data, viewing the said spectrum graphic,
- generating a sound in suitable amplitude in a suspicious frequency (S) to be selected from the spectrum graphic, and increasing only the amplitude of the sound in the said frequency,
determining whether the sound in the frequency with increased amplitude (G) is the problematic noise.
The inventive method enables to identify the problematic frequency by increasing the amplitude of suspicious sounds in the frequency spectrum. In order to find the sound frequency causing problem, a device which can emit sound in broad frequency range (for example 50-12000 Hz) is used. This device emitting sound can be mobile or integrated to the measurement system (data collection device). In another embodiment of the invention, the said sound generator can be software installed in a digital medium (for example a computer). In case the said sound generator is a separate device or a device integrated to the data collection device, it emits sound to the medium in amplitude suitable for the medium and in a desired frequency. In case the said device is software installed in a laptop computer, sound can be emitted to the environment through the loudspeaker of the laptop computer.
In the inventive method, first the noise is recorded to a digital medium ( for example a computer). In the said recording process, signals coming from sensors such as microphone, accelerometer placed on preferred points on the vehicle are collected by a data collection device and transferred to a digital medium (for example a computer). While recording the said noise to the digital medium ( for example a computer), several required calculations are made on the collected sound data in real time, and a spectrum graphic is formed in the digital medium. In the meantime, the said spectrum graphic is visually transferred to the user through a screen/monitor in the digital medium in real-time and it is viewed momentarily. A sound generator is manually adjusted to generate sound in suspicious frequencies (S) that will be determined in this spectrum (for example 118, 197, 280 and 387 Hz). Therefore, the sound generator emits sound in suitable amplitude and suspicious frequency via a loudspeaker to the medium. In automotive NVH problems, for example there are frequencies corresponding to the engine speed and frequencies known as its multiples. Beside these, if there are peaks in frequencies which are not known from which components they are originated, these frequencies are considered to be suspicious. In one embodiment of the invention, these frequencies are considered to be 118, 197, 280 and 387 Hz.
Figure - 1 is a frequency spectrum of a sound record received from an automobile the engine of which is in idle running. In order to identify the frequency of an unknown sound problem in the frequency spectrum shown in Figure 1, first these suspicious frequencies (S) are examined. In one embodiment of the invention, it will be considered that the 118, 197, 280, and 387 Hz frequencies are in spectrum shown in Figure 1 are suspicious frequencies (S) and other peaks are not related with the noise to be examined. For this, the sound generator is calibrated to a suspicious frequency (S) value (for example 118Hz frequency), and sound generation is enabled in suitable amplitude. In this case, the amplitude in the selected suspicious frequency (S) (in the frequency of 188 Hz for this example) in frequency spectrum seen from the screen of the measurement system is increased (Figure 2). Then, it is determined whether the sound in the frequency with increased amplitude (G) is the problematic noise. This identification process is realized by listening with ear and interpreting the sound with brain. Therefore, it can immediately be understood whether the dominant frequency of the noise heard with ear is the said frequency (S) (118 Hz). If the said noise does not belong to the frequency with increased amplitude (G), the sound generator device is calibrated to the next suspicious frequency (S) value (for example to 197 Hz frequency) and the amplitude in this suspicious frequency (S) is increased. Then, it is queried again whether the sound in the frequency with increased amplitude (G) is the problematic noise. This process is performed repeatedly for each suspicious frequency (S) until the dominant frequency of the noise heard with ear is found.

Claims

A method for enabling to identify the noise frequencies in the vehicles essentially comprising the steps of
collecting all sound together with the noise in the medium and recording to a digital medium,
forming a spectrum graphic belonging to the collected sound data, viewing the said spectrum graphic,
and characterized by the steps of
generating a sound in a suspicious frequency (S) to be selected from the spectrum graphic, and increasing only the amplitude of the sound in the said frequency,
determining whether the sound in the frequency with increased amplitude (G) is the problematic noise.
A method according to claim 1, characterized in that signals coming from sensors such as microphone, accelerometer placed on preferred points on the vehicle are collected by a data collection device and transferred to a digital medium (for example a computer) in step of "collecting all sound together with the noise in the medium and recording to a digital medium".
A method according to claim 1, characterized in that while recording the said noise to the digital medium (for example a computer), several required calculations are made on the collected sound data in real time, and a spectrum graphic is formed in the digital medium in real time again in step of "forming a spectrum graphic belonging to the collected sound data".
4. A method according to claim 1, characterized in that spectrum graphic is displayed visually to the user through a screen in a digital medium in real time in step of "viewing the said spectrum graphic".
A method according to claim 1, characterized in that a device that can emit sound in broad frequency is used to find sound frequency causing problem in step of "generating a sound in a suspicious frequency (S) to be selected from the spectrum graphic, and increasing only the amplitude of the sound in the said frequency".
A method according to claim 2, characterized in that a mobile sound device is used in step of "generating a sound in a suspicious frequency (S) to be selected from the spectrum graphic, and increasing only the amplitude of the sound in the said frequency".
A method according to claim 2, characterized in that a sound device which is integrated to the data collection device is used in step of "generating a sound in a suspicious frequency (S) to be selected from the spectrum graphic, and increasing only the amplitude of the sound in the said frequency".
8. A method according to claim 2, characterized in that a sound generator is manually calibrated to a suspicious frequency (S) value in step of "generating a sound in a suspicious frequency (S) to be selected from the spectrum graphic, and increasing only the amplitude of the sound in the said frequency".
EP15798580.5A 2014-10-22 2015-10-06 A method for frequency identification in nhv problems Withdrawn EP3209981A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
TR201412364 2014-10-22
PCT/TR2015/050125 WO2016064360A1 (en) 2014-10-22 2015-10-06 A method for frequency identification in nhv problems

Publications (1)

Publication Number Publication Date
EP3209981A1 true EP3209981A1 (en) 2017-08-30

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EP15798580.5A Withdrawn EP3209981A1 (en) 2014-10-22 2015-10-06 A method for frequency identification in nhv problems

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EP (1) EP3209981A1 (en)
WO (1) WO2016064360A1 (en)

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Publication number Priority date Publication date Assignee Title
CN109632086A (en) * 2019-01-10 2019-04-16 深圳市沃特沃德股份有限公司 Interior noise measuring method, apparatus, readable storage medium storing program for executing and computer equipment

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Publication number Priority date Publication date Assignee Title
DE19531402C2 (en) * 1995-08-26 1999-04-01 Mannesmann Sachs Ag Device and method for influencing vibrations in a passenger compartment of a motor vehicle and device and method for detecting defects in a motor vehicle
JP2000214052A (en) * 1999-01-28 2000-08-04 Nichiha Corp Abnormal sound detection system and recording medium
JP2001159586A (en) * 1999-12-02 2001-06-12 Suzuki Motor Corp Method and device for evaluating sound and storage medium storing program for evaluating sound
WO2006036262A2 (en) * 2004-09-23 2006-04-06 Thomson Licensing Method and apparatus for controlling a headphone
US8995683B2 (en) * 2006-12-29 2015-03-31 Google Technology Holdings LLC Methods and devices for adaptive ringtone generation

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
None *
See also references of WO2016064360A1 *

Also Published As

Publication number Publication date
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