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"Deteksi emisi akustik dilakukan untuk menjawab kebutuhan akan tanda-tanda kerusakan sedini mungkin pada komponen mesin. Emisi akustik sendiri merupakan pelepasan energi gelombang tegangan pada saat deformasi awal yang menjadi indikator kerusakan skala mikro komponen mesin, yang tidak dapat dideteksi dengan metode lain. Namun, perkembangan deteksi emisi akustik menjadi lamban karena sulitnya melakukan reka ulang proses penjalaran gelombang emisi akustik untuk dapat mengidentifikasi lokasi sumber kerusakan dini pada elemen mesin. Tujuan penelitian ini adalah mengembangkan teknik penentuan lokasi sumber kerusakan dini pada elemen mesin melalui metode triangulasi perbedaan waktu datang (time of arrival) sinyal antar sensor. Penelitian dilakukan dengan menggunakan pelat baja tahan karat SS 304 dan alumunium 6083 sebagai representasi elemen mesin serta digunakan sensor piezoceramic PZT yang bertindak sebagai aktuator dan sensor emisi akustik pada permukaan pelat tersebut. Penelitian dimulai dengan studi awal untuk mengetahui karakteristik penjalaran gelombang tegangan berupa hubungan pengurangan amplitudo dan kecepatan penjalaran terhadap frekuensi sumber emisi untuk dapat digunakan pada tahapan akuisisi dan analisis data sinyal AE dalam menentukan lokasi sumber kerusakan. Penelitian kemudian dilanjutkan dengan mengembangkan teknik penentuan lokasi sumber kerusakan dini yang mengadopsi sistem Global Positioning System (GPS) yaitu berupa triangulasi jarak yang diperoleh dari perbedaan waktu datang (time of arrival) antar sensor dan kecepatan penjalaran gelombang tegangan pada material. Dari hasil penelitian ini menunjukan bahwa teknik penentuan lokasi dengan metode ini menghasilkan akurasi yang cukup baik bila sumber AE berada di dalam bidang yang dibatasi oleh lokasi sensor-sensor, tetapi akurasi teknik ini menjadi buruk apabila lokasi sumber berada di luar bidang yang dibatasi oleh lokasi sensorsensor dengan penyelesaian non-iteratif menunjukan hasil yang lebih akurat daripada penyelesaian iteratif. Akurasi penentuan lokasi hingga 100% pada lokasi sensor yang teratur dan 91,6% pada lokasi sensor yang acak. Langkah verifikasi dilakukan dengan menggunakan bidang deteksi yang lebih besar dan menggunakan jumlah sensor yang lebih banyak, lebih dari 4 sensor.

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Acoustic emission detection has been done to answer the challenge to locate damage as early as possible in the machinery components. Acoustic emission is a rapid stress of energy release at the time of initial deformations as indicators of micro-scale damage to engine components, which cannot be detected by other methods. However, the development of acoustic emission detection has been very retarder due to the difficulty of reconstruction of acoustic emission wave propagation process in order to identify the location of the source of incipient damage on machine elements. The purpose of this study is to develop a technique of determining the location of the source of damage early on machine elements through triangulation method of time of arrival differences between the sensor signals.

The study was conducted by using a stainless steel SS 304 and aluminum 6083 plate as the representation of machine elements, PZT piezoceramic acted as sensors as well as actuators on the surface of the plate. The study began with a preliminary study to determine the characteristics of stress wave propagation in the relationship of amplitude attenuation and wave propagation speed respected to the frequency of emission sources and materials which would be used in the stages of data acquisition and analysis of AE signals in determining the location of the source of damage. Research was continued by developing a technique of determining the location of the source of incipient damage adopted the Global Positioning System (GPS) that is triangulation distance obtained from the time of arrival difference between the sensors and the speed of stress wave propagation in the material.

From the results of this study indicate that the technique of determining the location of these methods produce fairly good accuracy when the AE source is in the plane restricted by the location of the sensors, but the accuracy of this technique is worse when the source location is outside the respective plane and the non-iterative technique shows better result than the iterative one. The accuracy of this technique is up to 100% for structured and 90,6% for random sensors locations. Verification step then made by using larger detection area and using more than 4 sensors."

"Acoustic emission (AE) technique is developed to locate source of damage inside of concrete. However, the AE signal is interfered by much noise, which makes the determination of first time amplitude of AE signal is hard to be carried out. In fact, the determination of this parameter is a significant part for locating the source of damage in concrete. Therefore, one of the denoising methods called wavelet based denoising is proposed. In this case, some wavelet bases function are investigated to find out the proper wavelet bases function to perform the denoising of AE Signal. From the experimental data, the best wavelet basis function for this case is Coiflet, which is shown by providing the best SNR than the other wavelet families. In addition, the determining cracks locations on concrete can be performed easier on denoised AE signal than on noisy AE signal."

"Electromagnetic theory offers fascination and challenge from both a physical and a mathematical perspective. This monograph contains the newest results on the use of electromagnetic probes to interrogate dielectric material structures for material properties and geometry. This volume systematically exploits interface phenomena, the electrodynamics of material responses, and time dependent interrogating signals in an integrated manner. The authors begin with basic electromagnetics, such as Maxwell's equations, and present modeling, theory, and computational results. The book's strengths include a clear discussion of materials properties from the electromagnetic point of view, a careful formulation of the imaging problems addressed, rigorous treatment of mathematical issues, and useful illustration of computational methods and results. While confined to internal vision in one-dimensional settings, this volume will stimulate further developments in internal vision to include two- and three-dimensional interior assessments. It is an excellent and robust source of applied mathematics and engineering research challenges for the future. Imaging technology stands to benefit much from this research on low energy electromagnetic radiation. The use of electromagnetic pulses interacting with specially placed reflective surfaces, whether solid or acoustic, is a new dimension that will substantively impact medical imaging, subsoil investigation, and structure evaluation."

"PET scanner dikenal secara luas dalam pencitraan klinis untuk menentukan abnormalitas deteksi lesi kecil. Dalam studi ini, dilakukan evaluasi deteksi objek lesi menggunakan solid fantom in-house. Pengukuran dilakukan dengan menggunakan phantoms in-house dalam bentuk silinder lingkaran dan elips dengan objek lesi berdiameter 6 mm dan konsentrasi aktivitas FDG yang bervariasi. Lebih lanjut, dilakukan pula pengukuran objek lesi  dengan ukuran 6-, 8-, 11-, 16-, and 21 mm yang berada dalam phantoms silinder elips dengan material ekuivalen paru dan liver, berturut-turut dengan ukuran major dan minor axis, (33 × 18 cm) dan (28×20 cm). Objek lesi dilakukan variasi posisi secara sejajar dan melingkar. Evaluasi citra PET dilakukan perhitungan untuk menentukan Full Width Half Maximum (FWHM) berdasarkan protokol National Electrical Manufacturing Association (NEMA), dan selanjutnya menghitung Conversion Factor FWHM (CFh), serta menggunakan Fitting Gaussian. CFh merupakan rasio antara ukuran objek aktual dan citra FWHM. FWHM dalam sumbu x dan sumbu y berkisar antara 7,61 hingga 10,68 untuk 6 mm; 8,41 hingga 10,94 untuk 8 mm; 9,59 hingga 11,20 untuk 11 mm; 12,59 hingga 14,43 untuk 16 mm; 16,77 hingga 18,61 untuk 21 mm. Dengan hasil menunjukan CFh dipengaruhi oleh ukuran objek lesi di dalam phantom silinder elipse dengan material ekuivalen paru-paru dan hati yang. Citra PET  10 mm diperoleh nilai FCF  1.00 menunjukan ukuran objek sebenarnya lebih kecil dari ukuran citra. Citra PET hampir tidak mengalami perbesaran apabila citra PET mendekati 10 mm. Untuk citra PET 10 mm ditunjukan oleh nilai FCF  1.00, yang berarti ukuran objek sebenar lebih dari ukuran citra.

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PET scanner is widely known in clinical imaging to determine small lesions. We evaluated the detection of lesion object using solid-phantom in-house. Measurement was performed using in-house phantoms ellipse with carried out sizes of lesion object 6-, 8-, 11-, 16-, and 21 mm in lung and liver equivalent material. The lesion object was arranged in different position of parallel and circular.  Evaluation of PET image was calculated to determine the Full Width Half Maximum (FWHM) based on National Electrical Manufacturing Association (NEMA) protocol, and furthermore to calculate Conversion Factor FWHM (CFh), which represents the ratio between the size of the actual object and FWHM profile image.

The FWHMs in x-axis and y-axis were range 7.61 to 10.68 for 6 mm; 8.41 to 10.94 for 8 mm; 9.59 to 11.20 for 11 mm; 12.59 to 14.43 for 16 mm; 16.77 to 18.61 for 21 mm. With the result that the CFh was affected by the size of lesion object inside the ellipse cylinder phantom with lung and liver equivalent. PET image is size <10 mm obtained CFh value <1.00, it indicates that the actual object size is smaller than the image size. The PET image was barely enlarged if the PET image approaches 10 mm. PET images >10 mm was indicated by the CFh value >1.00, which means the object size was actually higher than the image size."

"This volume provides an introduction to phonetics and speech science courses. The first chapters introduce basic acoustics, audition, digital signal processing, and the source filter theory of speech production, while the later chapters survey the major classes of speech sounds describing in detail their acoustic and auditory properties. Students in linguistic phonetics and speech science will find this a gentle, yet rigorous, introduction to some of the more technical aspects of computer speech analysis which are assumed in modern instrumental studies of speech, distinctive feature theory, and the acoustic characterization of speech pathology.Contents1. Basic Acoustics and Acoustic Filters2. Digital Signal Processing3. Basic Audition4. The Acoustic Theory of Speech Production: Deriving Schwa5. Vowels6. Fricatives7. Stops and Affricates8. Nasals and Laterals."

"This book highlights the symmetry properties of acoustic fields and describes the gauge invariance approach, which can be used to reveal those properties. Symmetry is the key theoretical framework of metamaterials, as has been demonstrated by the successful fabrication of acoustical metamaterials. The book first provides the necessary theoretical background, which includes the covariant derivative, the vector potential, and invariance in coordinate transformation. This is followed by descriptions of global gauge invariance (isotropy), and of local gauge invariance (anisotropy). Sections on time reversal symmetry, reflection invariance, and invariance of finite amplitude waves round out the coverage. "

"Skripsi ini memaparkan aplikasi metode inversi Akustik Impedans (AI) dan Dekomposisi Spektral pada data seismik di lapangan ?Upper? Norway. Tujuan dari aplikasi metode seismik inversi ini adalah untuk identifikasi reservoir batupasir yang memiliki ketebalan dibawah resolusi seismik. Metode inversi Model Based, digunakan untuk mendapatkan hasil analisis yang baik. Dilakukan teknik plot silang dari data sumur untuk mendapatkan persamaan antara nilai impedansi akustik dan nilai porositas, setelah itu dilakukan transformasi dari penampang impedansi akustik menjadi penampang porositas. Hasil interpretasi peta distribusi inversi impedansi akustik akan menunjukkan zona kemungkinan reservoir. Kemungkinan adanya reservoir ditandai oleh porositas rendah dengan nilai impedansi akustik yang relatif tinggi. Dekomposisi spektral digunakan untuk melihat konten yang ada pada lapangan Upper dimana kemungkinan di lapangan tersebut adanya gas atau minyak. Kemungkinan tersebut dapat terlihat dari analisa pola respon frekuensi.

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This thesis describes the application of acoustic impedance inversion method (AI) and Spectral Decomposition of the seismic data in the field "Upper" Norway. The purpose of this application is the method of seismic inversion for the identification of reservoir sandstones having a thickness below seismic resolution. Based Model inversion method, is used to obtain analytical results are good. Performed cross plot technique of well data to obtain similarities between acoustic impedance values and porosity values, after the transformation of the cross-section of the acoustic impedance into porosity cross section.

Results interpretation acoustic impedance inversion distribution map will show the possibility of the reservoir zone. The possibility of a reservoir characterized by low porosity with acoustic impedance values relatively high. Spectral Decomposition is used to view the content available on the Upper field where the possibilities in the field presence of gas or oil. The possibility can be seen from the analysis of the frequency response pattern."

"Formasi Balikpapan yang terletak pada lapangan KEVEV, Cekungan Kutai merupakan reservoir batupasir yang cukup baik sebagai tempat terakumulasinya hidrokarbon. Dalam penelitian ini, telah dilakukan inversi impedansi akustik AI pada seismik 3D untuk mengetahui karakteristik dari lapisan target pada formasi Balikpapan di Lapangan KEVEV, Cekungan Kutai, Kalimantan. Inversi impedansi akustik pada data seismik yang dilakukan berbasis model dimana pembuatan model dikontrol oleh 6 Sumur yang digunakan dan juga 1 Horizon. Pada hasil inversi AI dilakukan slice untuk mendapatkan daerah low-Impedance yang berpotensi sebagai lapisan pasir sehingga dapat mengindikasikan adanya hidrokarbon pada lapangan "KEVEV" berdasarkan nilai impedansi akustik dan porositas. Dari proses inversi AI yang dilakukan pada data seismik 3D di Lapangan KEVEV diperoleh harga impedansi akustik untuk lapisan Horizon x adalah antara 20.000 ft/s g/cc-27.000 ft/s g/cc. Setelah dikonversikan menjadi porositas, didapatkan harga porositas untuk Horizon X sebesar 20-24 . Zona prospek hidrokarbon diindikasikan terdapat pada puncak dekat dengan sumur KEVEV 0060.Untuk sumur pengembangan berikutnya sebaiknya dilakukan di dekat titik tersebut.

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Balikpapan formation, which is located in KEVEV field, Kutai Basin, is a quite good sandstone reservoir as a place where hydrocarbons are accumulated. In this study, Acoustic Impedance AI Inversion in 3D seismic, have been done to interpret characteristic of the target rsquo s layer in Horizon X, KEVEV field, Kutai Basin, Kalimantan. Acoustic impedance seismic inversion, which based on model controlled by 6 wells and 1 horizon.

The results of Al inversion sliced to get the low impedance area which are potential as a sand layer, so that the hydrocarbon can be indicated in KEVEV field, based on the value of acoustic impedance and porosity. The result of acoustic impedance inversion from 3D seismic data in KEVEV Field controlled by Horizon X is in range 20.000 ft s g cc - 27.000 ft s g cc. After being converted in to porosity, the value of porosity for Horizon X is obtained. The value is 20 - 24. Hydrocarbon prospect zone is indicated in the high structure, near to KEVEV 0060 well. The next develop well ought to be near that point."

"Pemodelan Impedansi Akustik untuk Karakterisasi Reservoar Coalbed Methane pada daerah X di Riau dilakukan dengan menggunakan seismik inversi. Pada studi ini data seismik diinversi menjadi nilai impedansi akustik yang diturunkan dari data sumur untuk mengubah data volume seismik menjadi data volume impedansi akustik. Inversi model base digunakan untuk melakukan proses tersebut. Hasil dari proses inversi dapat memperkirakan keberadaan lapisan batubara yang dalam hal ini menjadi reservoar yang dicari. Kajian dalam terhadap hasil inversi ditekankan pada reservoar batubara yang terdapat pada lapisan batu pasir pada pengendapan pada formasi muara enim. Identifikasi reservoar pada data log sumur memperlihatkan indikasi yang jelas pada kedalaman antara 460 sampai 465 meter untuk Coal 1, dan juga pada kedalaman 604 ? 628 meter untuk Coal 2. Hasil inversi memperlihatkan bahwa distribusi nilai impedansi akustik mampu membantu mendeliniasi sebaran reservoar coalbed methane.

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Reservoir Charactization of Coalbed Methane Using Acoustic Impedance Modeling of X Field, Riau is done by using seismic inversion. In this study the seismic inversion is constrained by well to change the volume of seismic data to the data volume of acoustic impedance. In this study model base inversion of seismic method is used to perform the inversion process. The inverted result is used as process to delinieate coal layering that as the reservoir.

This study is pointed out on sand reservoir, which was deposited at Muara Enim formation. Reservoir identification from log data shows a clear indication of reservoir at depths of 460 m - 465 m for Coal 1 and at depths of 604 m ? 628 m for Coal 2. AI inversion results are expected to help delineate the distribution of the Coalbed Methane reservoir."