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<![CDATA[Deteksi Kebocoran Dan Sumbatan Pada Jaringan Pipa Mengunakan Sinyal Suara ]]>
<![CDATA[Riedho Tilma Satria]]>;
<![CDATA[Feblil Huda]]>
<![CDATA[ Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 5 (2018): Edisi 2 Juli s/d Desember 2018 ]]>
Publisher : <![CDATA[Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains ]]>
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<![CDATA[This research describes the results obtained from experimental studies into the use of acoustic signals to detect leaks and blockages in pipelines. The piping system is an important feature in the industrial world, because it has an effective and efficient transportation function used for delivery such as drinking water, petrochemicals and other liquids. Prevention of damage to either leakage or blockage is very important because it can reduce the number of losses both the economy, the natural environment, even loss of life. The research method used is detection by using acoustic signal. Acoustic signal method is used because it is very sensitive to discontinuities in pipes that can detect problems quickly and precisely which has the advantage of cheaper cost. Acoustic signals are given for leakage, blockage, and joint damage to water and waterless conditions of different sizes and positions. The acoustic signal data is processed by fast Fourier transform and Wavelet Transform methods. From the test results obtained that the amount of damage given is directly proportional to the resulting amplitude. The conclusion is that this is an effective method for the detection of leaks and plugs in simple and enhanced pipes to monitor from more complex pipelines.Keywords : Sound Signal, Leakage, Blockage, Fast Fourier Transform, Wavelet Transform.]]>
<![CDATA[Deteksi Keretakan Pada Pipa Menggunakan Sinyal Suara Dan Dual Mikrofon ]]>
<![CDATA[Suhardi Panjaitan]]>;
<![CDATA[Feblil Huda]]>
<![CDATA[ Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 7 (2020): Edisi 1 Januari s/d Juni 2020 ]]>
Publisher : <![CDATA[Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains ]]>
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<![CDATA[Piping system is used for fluid distribution in various fields of industry. When compared to other transportation systems such as vehicles, piping systems have a higher level of integration and are more effective. The need for pipeline is increasing in the industrial sector. Therefore, various types of damage that can occur in the pipeline system are important to be assessed and prevented. Detection of pipe damage is very important to prevent various losses and work accidents. Pipe damage in the form of crack is a problem that often occurs in pipe systems. In this study, the detection of damage to the pipe is done using sound signals and dual microphones. The sound signal method is an intelligent structural health monitoring that can prevent damage at a lower cost. Sound excitation was generated by loadspeaker and the response of the sound signal is sampled using dual microphones. Sound signal data from dual microphones is processed using wavelet transforms. From the experimental results it was found that the greatest wavelet coefficient of the microphone position is estimated to be the polar position of the damage. Keywords: Sound signal, dual microphones, crack, wavelet transform]]>
<![CDATA[Deteksi Kebocoran Dan Sumbatan Pada Pipa Menggunakan Sinyal Suara ]]>
<![CDATA[Tengku Hamzir Muhardillah Yahya]]>;
<![CDATA[Feblil Huda]]>
<![CDATA[ Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 5, No 1 (2018): Wisuda April Tahun 2018 ]]>
Publisher : <![CDATA[Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains ]]>
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<![CDATA[The pipeline system leads an important role and ubiquitous feature of modern society which is used as one of the high integrity fluid transport function, but has a major problem such as leakage and blockage. Detection methods are typically performed using ultrasonic pressure and wave differences at a relatively high price. The research method used is detection by using sound signal. Sound signal method is smart structural health monitoring that can detect problems quickly and precisely which has the advantage that is cheaper cost. Sound signals are given for leakage, blockage, and joint damage to water and waterless conditions of different sizes and positions. The sound signal data is processed by fast fourier transform and wavelet transform methods. From the test obtained the result increase amount of damage given the greater the amplitude generated with the largest estimation error in full blockage condition with water of 5%.Keywords : Sound signal, leakage, blockage, fast fourier transform, wavelet transform]]>
<![CDATA[Deteksi Kerusakan Dalam Bentuk Kebocoran Dan Sumbatan Elbow Pipa Menggunakan Sinyal Suara Dan Delapan Mikrofon ]]>
<![CDATA[Raynold Harlem Hutasoit]]>;
<![CDATA[Feblil Huda]]>
<![CDATA[ Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 8 (2021): Edisi 2 Juli s/d Desember 2021 ]]>
Publisher : <![CDATA[Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains ]]>
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<![CDATA[In this study, damage to the pipe was detected using a voice signal and eight microphones. The voice signal method is a smart structural health monitoring that can detect damage at a lower cost. Sound excitation is givenusing a loudspeaker and the response of the sound signal is sampled using eight microphones connected to a PC-Oscilloscope which functions to convert the analog signal from the recorded sound into a digital signal inthe form of a time domain value and then uses a Continuous Wavelet Transform (CWT) to determine the location of the damage. occurs in the pipe sheath. To detect the location of pipe damage in various damage positions, itcan be searched by comparing the wavelet coefficient and seen on the polar plot of eight microphones. The damage given is in the form of plugs and leaks with different distances and positions. From the experimentalresults obtained for a single pipe with leaking conditions on leaking pipe testing 0.7 m in the direction of 210º it can be seen that the highest wavelet coefficient value occurs at microphone 6 and microphone 5 which is0.01374 and 0.01274 according to the location of the damage that occurred in the an angle of 210º between 180º and 225º. It can be seen the location of the damage position in the pipe casing through the polar plot, the pointthat is further away from the outer circle on the 6-way microphone 225º and the 5-way microphone 180º is the position of the location damage pipe.Keywords : Sound Signal, Leakage, Blockage, Fast Fourier Transform, Wavelet Transform, Polar Plot.]]>
<![CDATA[Deteksi Kerusakan Motor Induksi Dengan Menggunakan Sinyal Suara ]]>
<![CDATA[Akbar Anggriawan]]>;
<![CDATA[Feblil Huda]]>
<![CDATA[ Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 5, No 1 (2018): Wisuda April Tahun 2018 ]]>
Publisher : <![CDATA[Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains ]]>
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<![CDATA[Induction motor plays an important role in the industrial realm that serves as a driving parts such as the conveyor, lathes and others. Regarding to this important role, the early detection of induction motor damage becomes important for system operation, so that it could not stopped without scheduled. The types of damage that often occur in induction motor are mechanical unbalance, rotor damage and bearing damage. The usual detection method which uses vibration measurments has some disadvanteages such as it is very expensive, physical contact with the induction motor that occurs and the sensors are less heat resistant on induction motor. The author uses sound signal detection method that is cheaper regarding to the cost, it has no physiscal contact with the induction motor and heat resistant. The sound signal is generated by the exicitation of the artificial damage which is provided to the induction motor. Artificial damage is given by damaging the bearing, rotor and mass unbalance. Sound signal data from artificial damage test result on induction motor is processed by using fast fourier transform method. The result of the research obtains the amplitude increased number for one time motor rotation 2970 rpm (1xrpm) is 49.5 Hz, 144.5 Hz for bearing damage frequency and 78.5 Hz for the rotor damage frequency.Keywords : Induction motor, mechanical unbalance, bearing, rotor, signal sound, fast fourier transform]]>
<![CDATA[Deteksi Kerusakan Pipa Dalam Bentuk Kebocoran Menggunakan Sinyal Suara Dan Dual Mikrofon ]]>
<![CDATA[Hariadi Hariadi]]>;
<![CDATA[Feblil Huda]]>
<![CDATA[ Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 7 (2020): Edisi 1 Januari s/d Juni 2020 ]]>
Publisher : <![CDATA[Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains ]]>
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<![CDATA[The piping system is an important feature in the industrial world because it has an effective and efficient transportation function used for shipping such as liquid and gas fluids. Prevention of damage either leakage or blockage is very important because it can reduce the number of losses both economic, natural environment, and even loss of life. The use of sound signals to detect and find leaks in pipes with experimental studies. This method can be used because it is very sensitive to discontinuities in the pipe that can detect damage at a relatively lower cost. This method uses sound impulses emitted through the loudspeaker as excitation and the response of the sound signal will be recorded using a dual microphone sensor. Sound signals are given for leakage under conditions of using water and without water of different sizes, positions and polar sides. The sound signal data will be processed using the Fast Fourier Transform and Wavelet Transform methods. The test results showed that the amount of damage given is directly proportional to the amplitude generated and the wavelet coefficient of each microphone sensor will increase as it approaches the polar side of the damage. Keywords : Sound Signal, Leakage, Fast Fourier Transform, Wavelet Transform, Dual Microphone]]>
<![CDATA[Deteksi Keausan Pahat End Mill Mesin Freis Menggunakan Sinyal Suara ]]>
<![CDATA[Yogi K Limbong]]>;
<![CDATA[Feblil Huda]]>
<![CDATA[ Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 7 (2020): Edisi 1 Januari s/d Juni 2020 ]]>
Publisher : <![CDATA[Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains ]]>
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<![CDATA[Wear is the loss of material from the surface of solid objects as a result of mechanical motion. The type of wear that can occur on a machine tool are flank wear and crater wear. Flank wear that occurs on a tool in this case the milling machine can make improper workmanship, damage to the machine, endanger the machine operator, and will cause a decrease in productivity. Observation of the tool condition when not working can be done by measuring using a microscope or measuring the volume of the tool, but this measurement will also reduce the level of production. A system to observe the condition of the tool and detect damage that occurs to the tool and to the working machine is needed to avoid losses that can be caused by tool wear. This system use a microphone as a sensor for the sound singals generated when the engine is working. The signal obtained by the microphone in analog data form is forwarded to the sound card to be converted into digital data. The sound signals were processed by FFT to transfer time domain to frequency domain. The value of magnitude obtained in cutting process with roughing parameters were -40.06 dB at the 1st cut and -37.57 dB at the 33rd cut. magnitude that obtained in cutting process with finishing parameters were -41.51 dB at the 1st cut and -33.98 dB at the 21st cut. Keywords : Milling, Flank Wear, Sound Signal, Fast Fourier Transform, Spectrogram]]>
<![CDATA[Deteksi Kerusakan Pada Struktur Membran Dengan Menggunakan Sinyal Suara ]]>
<![CDATA[Febri Feridianto]]>;
<![CDATA[Feblil Huda]]>
<![CDATA[ Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 5 (2018): Edisi 1 Januari s/d Juni 2018 ]]>
Publisher : <![CDATA[Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains ]]>
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<![CDATA[Structural Health Monitoring (SHM) is a process of identifying damage by Nondestructive Evaluation (NDE). The flexible and lightweight membrane properties cause testing methods that require contact between the sensor and the specimen can not be performed. The method can be done by non-contact method. In this study a non-contact method was proposed to monitor the membrane by utilizing the sound signal as an excitation. This method has the advantage because it is not costly to set-up testing. Recorded data in the form of time domain is transformed into a frequency domain using FFT (Fast Fourier Transform) method. With the domain data frequency response and domain data excitation frequency can be processed into data FRF (Frequency Response Function). FRF in matrix form is used to estimate the mode shape. The first natural frequency of the mode shape is transformed using a 2D-CWT wavelet to detect the location of the damage. The study was performed on membranes under normal and damaged conditions. The research was done by experiment. The results of the research show that the proposed method can detect the location of the damage properly and accurately.Keywords: SHM, Membrane, Signal Sound, FFT, FRF, Mode Shape]]>
<![CDATA[Analisis Pengukuran Tegangan Pada Struktur Pelat Berbasis Microcontroller Arduino ]]>
<![CDATA[Ramli Ali Safrudin]]>;
<![CDATA[Feblil Huda]]>;
<![CDATA[Sapdo Utomo]]>
<![CDATA[ Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 5 (2018): Edisi 2 Juli s/d Desember 2018 ]]>
Publisher : <![CDATA[Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains ]]>
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<![CDATA[Stress can be measured using a strain gauge sensor. Strain gauge will experience change in resistance when the objects are tied with strained. The magnitude of the difference in resistance on the strain gauge is proportional to the strain on the object. In this study, using a device for strain gauge signal reading from materials that are cheap and easily found in the Indonesian market, including Arduino (as data acquisition) and INA 125P (as signal amplifiers). Stress measurements performed on Aluminum plates use the bending load like the cantilever beam with dimensions of 150 mm long, 50 mm wide, 2 mm thick. The measurement results obtained have the biggest difference with the theoretical calculation method which is 5,32%, while when compared with the simulation method the biggest difference is 8,03%.Keyword : Strain gauge, INA 125P, cantilever beam, bending load.]]>
<![CDATA[Deteksi Kerusakan Pipa Dalam Bentuk Sumbat Dan Bocor Menggunakan Sinyal Suara Dan Empat Mikrofon ]]>
<![CDATA[Willy Hartino Siregar]]>;
<![CDATA[Feblil Huda]]>;
<![CDATA[Nazaruddin Nazaruddin]]>
<![CDATA[ Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 8 (2021): Edisi 1 Januari s/d Juni 2021 ]]>
Publisher : <![CDATA[Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains ]]>
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<![CDATA[The system piping is a system that is used to distribute the fluid in the form of a substance of liquid or gas from one point to multiple points more to distance the relatively long. By because it’s, various types of damage that can occur in the system piping becomes important to be studied and prevented. Prevention of damage, be it leaks or blockages, is very important because it can reduce the number of losses both to the economy, the natural environment, and even loss of life. In this study, a method was developed to detect damage to pipes using sound signals. The detection of damage to the plumbing done by using a signal sounds and four microphones. Methods of signal noise is a smart structural health monitoring that can detect damage at the cost of the more inexpensive. Excitation noise is given by using a loudspeaker and the response signal noise is sampled using four microphones that are connected to the PC- Oscilloscope which serves to convert the signal analog results of recording sound into a signal of digital form of the value of domains of time and then use a Continuous Wavelet Transform (CWT) to determine the location of the damage that occurs in the pipe sheath. To detect the location of pipe damage in various positions of damage, it can be searched by comparing the wavelet coefficient of the four microphones. Keywords: sound signal, leakage, blockage, Continous Wavelet Transform, wavelet coefficient]]>
