MILLING TOOL WEAR MEASUREMENT BASED ON ANALYSING SOUND RECORD

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dc.contributor.advisorKeszán, László
dc.contributor.authorRazzokov, Nurmukhamad
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2025-09-04T16:38:01Z
dc.date.available2025-09-04T16:38:01Z
dc.date.created2024-06-09
dc.description.abstractDesign improvement of Finite Impulse Filters (FIR) and Infinite Impulse Filters (IIR) are basic requirements in various kinds of areas (Production, Aerospace fields, Neuro, Telecommunication …. etc) as main task is signal transmission depends on choosing appropriate software. Correctly formulated mathematical functions play a significant role to optimize digital signal processing, synthesizing on (FIR) and (IIR) configuration in real–time process. In this case, the simulation of digital signal architectures provides economizing energy efficiency, high-quality data exchanging speed, and frequency control for reducing approximate errors on analytical digital signals on CNC machine. Determining estimated errors and defect tools by sound power detection. Furthermore, experimental architectural module solutions depend on hardware examples. In addition, most scientific results showed that network systems should have reconfigurable and low-complication modules. In this way increasing opportunity of machine operator is important purpose.
dc.description.courseMechatronical Engineeringen
dc.description.degreeMSc/MA
dc.format.extent80
dc.identifier.urihttps://hdl.handle.net/2437/397318
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectSound power detection
dc.subjectNational Instrument hardware and software features
dc.subjectICP 4030 CNC machine
dc.subject.dspaceEngineering Sciences
dc.titleMILLING TOOL WEAR MEASUREMENT BASED ON ANALYSING SOUND RECORD
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