Failure prediction by means of cepstral analysis and coherence function between thrust force and torque signals

Vilček, Igor; Kováč, J.; Janeková, Jaroslava

doi:10.1109/isam.2011.5942360

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…Figure 2. Experimental data extracted from program "Editace" [12] For data acquisition the software Matlab with Real Time Toolbox was used in order to sample cutting force signals fro m dynamo meter. The samp led data were saved on the hard disk of the co mputer for further p rocessing and analysis.…”

Section: Experimental Set-upmentioning

confidence: 99%

“…Drilling Life Figure 8. Example of the drill destruction of machined material X4CrNiMo16-5 [12] With increasing wear in the twist drill margin wear causes the increase of the frictional forces between the marg in and mach ined hole wall and lead to torsional vibrations in the cutting tool. This in turn cause further tool wear and vibrations.…”

Section: Wear Mechanism At the End Ofmentioning

confidence: 99%

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Failure Prediction by Means of Cepstral Analysis and Coherence Function between Thrust Force and Torque Signals

Vilček¹,

Kováč²,

Janeková³

2012

JMEA

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Requirements for flexib le manufacturing have been increasing in the last years. In order to insure effective operation of expansive manufacturing equip ment, wh ich has to run automatically and unattended, tool monitoring is important. Therefore, the essential problem to be overcome to achieve the full potential of un manned mach ining is the development of effective and reliable sensors system to monitor the process and corrective actions in case abnormal operation. The ultimate goal of the develop ment of such production equipment is to enhance the overall economic of the manufacturing process. Even when there are at present many monitoring systems co mmercially available in the market for turning processes, serious difficulties still remain to be solved to apply monitoring systems successfully in machining centres. Being these difficult ies main ly related with the limited accessibility to the rotating tool for sensing purposes in tool driven machin ing processes. Therefore, the primary objective o f this paper assess the feasibility of using force signal analysis as means for monitoring tool condition in drilling

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Section: Experimental Set-upmentioning

confidence: 99%

Section: Wear Mechanism At the End Ofmentioning

confidence: 99%

Failure Prediction by Means of Cepstral Analysis and Coherence Function between Thrust Force and Torque Signals

Vilček¹,

Kováč²,

Janeková³

2012

JMEA

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show abstract

“…The proposed method let the friction force in rubbing motion be evaluated and modeled accurately without complication and difficulty to treat the model. There are some techniques to evaluate signals not voice information using the Cepstral analysis (17)- (19) . In conventional methods, Cepstral analysis has been used to detect envisaged frequency features contained in the signal.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Modeling Based on Cepstrum for Haptic Presentation Considering Frequency Features of Vibration in Rubbing Motion

Miyagi

Katsura

2015

IEEJ Journal IA

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This paper proposes a modeling method for the haptic information from the environmental characteristics of a plane. A human obtains much haptic information by touching an object. For the haptic information derived from a rubbing motion, this paper particularly focuses on the vibration components of the friction force. Although there are many methods to describe the friction force, it is difficult to treat them quantitatively. This paper proposes applying Cepstral analysis to haptic information to easily extract and treat unique features of the environment. A technique for representing the extracted frequency features is also presented. An experiment was performed using a 2 DOF system to show the validity of the proposal.

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Failure prediction by means of cepstral analysis and coherence function between thrust force and torque signals

Cited by 2 publications

References 9 publications

Failure Prediction by Means of Cepstral Analysis and Coherence Function between Thrust Force and Torque Signals

Failure Prediction by Means of Cepstral Analysis and Coherence Function between Thrust Force and Torque Signals

Analysis and Modeling Based on Cepstrum for Haptic Presentation Considering Frequency Features of Vibration in Rubbing Motion

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