Wind turbines are apt to diverse faults during long-term operation in natural environments, which affect their power generation efficiency and lifespan. Therefore, based on convolutional neural networks, gradient descent method was introduced to optimize their parameter training. Meanwhile, synchronous compressed wavelet transform was utilized to enhance the fault signal's time-frequency information. The fault detection correlation operation was optimized through Pearson correlation coefficient. Finally, a new type of fan fault detection model was proposed. The average fault detecting accuracy of this model was the highest at 98.98%, the average loss value was the lowest at 0.08%, and the average time consumption was the shortest at 16.52s. The minimum mean square error for detecting inner and outer ring pitting of fan bearings was 0.016 and 0.018, respectively. As a result, the proposed new model performs excellently in terms of accuracy and reliability in fault detection, with detection accuracy generally superior to other existing models. This model can significantly improve wind turbine fault detection, reduce false alarm and false alarm rates, and provide effective guarantees for wind turbines' stable operation.
This research aims to design a tool that can be used to detect damage or malfunctions in induction motors, especially in the bearing part which is the main driving component. Using the MPU 6050 accelerometer sensor and sound sensor module with the Arduino Nano microcontroller and the HC 05 Bluetooth module as a medium for sending and acquiring signal data. The signal data obtained in the form of a datalog with the extension .txt is then processed further with Matlab software to find out information on the characteristics of sound signals and vibration signals generated by induction motor bearings. Using a cut-off signal filter low pass filter for voice signal filter processing and fast Fourier transform (FFT) to convert the time domain signal into a signal frequency domain to determine the frequency characteristics arising from the signal. From the sound and vibration signal input data obtained, the Fuzzy logic method is used to determine the bearing condition output. The developed system is capable of detecting bearings in three conditions, namely good, damaged, and alert.
PL
Celem badań jest zaprojektowanie narzędzia, które będzie można wykorzystać do wykrywania uszkodzeń lub usterek w silnikach indukcyjnych, zwłaszcza w części łożyskowej będącej głównym elementem napędowym. Wykorzystanie czujnika akcelerometru i modułu czujnika dźwięku MPU 6050 z mikrokontrolerem Arduino Nano i modułem Bluetooth HC 05 jako medium do przesyłania i pozyskiwania danych sygnałowych. Uzyskane dane sygnałowe w postaci datalogu z rozszerzeniem .txt są następnie przetwarzane w programie Matlab w celu uzyskania informacji o charakterystyce sygnałów dźwiękowych i sygnałów wibracyjnych generowanych przez łożyska silników indukcyjnych. Zastosowanie filtra dolnoprzepustowego filtra sygnału odcinającego do przetwarzania filtra sygnału głosowego i szybkiej transformaty Fouriera (FFT) w celu konwersji sygnału w dziedzinie czasu na dziedzinę częstotliwości sygnału w celu określenia charakterystyk częstotliwości wynikających z sygnału. Na podstawie uzyskanych danych wejściowych sygnałów dźwiękowych i wibracyjnych metoda Fuzzy logic służy do określenia wyjściowego stanu łożyska. Opracowany system jest w stanie wykryć łożyska w trzech stanach: dobre, uszkodzone i czujne.
In mechanical equipment, if bearing components fail, it can cause serious equipment damage and even threaten human life safety. Therefore, equipment bearings fault diagnosis is of great meaning. In the study of bearing fault diagnosis, an improved gray wolf optimization algorithm is put forward to optimize the support vector machine model. The model improves the convergence factor of the algorithm, and then optimizes the penalty factor and KF parameters of the support vector machine to enhance the accuracy of fault classification. At the same time, in the problem of fault identification, the introduction of adaptive noise set empirical mode decomposition and the combination of permutation entropy are studied to minimize the impact of noise on the identification model. The experimental outcomes indicated that the algorithm proposed in the study had an average fitness value and a standard deviation fitness value of 0 in the benchmark test function and 94.55% accuracy in overall fault identification. The permutation entropy of the vibration signal in the normal state of the bearing was within the range of [0.13, 0.52], which has a more stable state compared to the fault state. The results show that the improved grey Wolf optimization algorithm is applied to the optimization of support vector machine, combined with the adaptive noise set empirical mode decomposition and permutation entropy, and the identification and classification results of bearing faults are successfully improved, making the proposed method feasible in bearing fault diagnosis, and providing a more effective scheme for fault diagnosis.
Fault diagnosis techniques of electrical motors can prevent unplanned downtime and loss of money, production, and health. Various parts of the induction motor can be diagnosed: rotor, stator, rolling bearings, fan, insulation damage, and shaft. Acoustic analysis is non-invasive. Acoustic sensors are low-cost. Changes in the acoustic signal are often observed for faults in induction motors. In this paper, the authors present a fault diagnosis technique for three-phase induction motors (TPIM) using acoustic analysis. The authors analyzed acoustic signals for three conditions of the TPIM: healthy TPIM, TPIM with two broken bars, and TPIM with a faulty ring of the squirrel cage. Acoustic analysis was performed using fast Fourier transform (FFT), a new feature extraction method called MoD-7 (maxima of differences between the conditions), and deep neural networks: GoogLeNet, and ResNet-50. The results of the analysis of acoustic signals were equal to 100% for the three analyzed conditions. The proposed technique is excellent for acoustic signals. The described technique can be used for electric motor fault diagnosis applications.
The paleo-tectonic stress field was hereby inverted by using the stereographic projection method through field and underground observations of conjugate shear joints. On the basis of analyzing and studying the characteristics of gas occurrence in mining areas, the control effect of paleo-tectonic stress field on gas occurrence was discussed from three aspects of gas generation, preservation environment and gas migration. The results show that: (1) During the Indosinian and early-middle Yanshan period, the coal seam was buried deep, and the temperature and pressure conditions were suitable for massive gas generation, especially during the Indosinian period featuring massive gas generation and weak gas migration; (2) During the late Yanshan period, the metamorphic evolution rate of coal seams accelerated, secondary hydrocarbon generation occurred in the coal seams, and a large amount of gas was generated. Meanwhile, the gas migration was enhanced. The gas generation amount was much larger than the emission amount, therefore, making it still a period of massive gas generation in general; (3) During the Himalayan period, the coal measure stratum was in the uplift stage, and a large number of geological structures were developed in the stratum. The tectonic stress field in this period caused the escape of massive coal seam gas. Multi-stage tectonic stress field acted on coal measures strata in turn, resulting in gas generation in coal seam and gas migration at the same time. Besides, gas occurrence is the superposition effect of gas generation, preservation conditions, and gas migration in coal seam.
W artykule zamieszczono wyniki badań dotyczące identyfikacji wybranych czynników i oceny ich wpływu na jakość budynków mieszkalnych. Badania i analizy czynników wpływu ograniczono do fazy realizacji, którą poprzedzała szczegółowa analiza kompletności dokumentacji projektowej, przyjętych rozwiązań, zastosowanych materiałów oraz możliwości zrealizowania obiektu. Jako miarę jakości budynków mieszkalnych przyjęto liczbę i rodzaj wad stwierdzonych podczas przeprowadzanych odbiorów technicznych. Obliczono wartości współczynników korelacji rho Spearmana oraz określono wpływ zidentyfikowanych czynników na jakość.
EN
The article presents the results of research on the identification of selected factors and the assessment of their impact on the quality of residential buildings. Research and analyzes of the impact factors were limited to the implementation phase, which was preceded by a detailed analysis of the completeness of the design documentation, the solutions adopted, the materials used and the possibility of building the facility. The number and type of defects found during technical acceptance tests were adopted as a measure of the quality of residential buildings. The values of Spearman's rho correlation coefficients were calculated and the influence of the identified factors on the quality was determined.
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The aim of the work was to develop a method of real time diagnosing electromagnetic fuel injectors using the observation of electric current parameters available in the engine control unit. Performing this task required finding a precise criterion for assessing the correct operation of an electromagnetic injector. For this purpose, a mathematical model describing the individual phases of the injector's operation was used, allowing the simulation of the occurrence of typical failures. On its basis, symptoms of particular failures were determined based on the observation of electric current parameters in the control circuit. Observation of voltage and current waveforms allows to locate both electrical and mechanical damages to the injectors and to assess the correctness of the power system components. The presented diagnostic method allows the detection of the described damages in the early stages of their development, which prevents damage to the catalytic converter and other engine systems (valves, piston rings or cylinder surfaces), i.e. damages resulting from an incorrect fuel mixture.
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An interpretation of aeromagnetic data was conducted in the Pitoa–Figuil area (Northern Cameroon). The aim of this investigation was the first to emphasise lineaments hidden under geological formations and secondly to propose two 2.75D models of the subsurface structures. Different magnetic data processing techniques were used, notably horizontal gradient magnitude, analytic signal and Euler deconvolution. The application of these techniques made it possible to map a certain number of lineaments representing discontinuities of magnetic susceptibility, mainly oriented NE–SW, NW–SE, E–W and ENE–WSW. The predominant direction for major lineaments is NE–SW and NW–SE. The major NE–SW trends have been attributed to the consequences of the Benue trough set-up due to the Atlantic opening. The lineaments map associated with the Euler solutions permits us to highlight and characterise 18 faults and some intrusive bodies. Euler solutions indicate depths down to 5.3 km for anomaly sources. The 2.75D modelling from the aeromagnetic anomaly reduced to the equator permits to understand the stratification of the deep and near-surface structures, which are sources of the observed anomalies. The sediment thickness values (3.5–4 km) combined with the presence of numerous deep faults make this area a potential site for hydrocarbon accumulations.
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The Bat optimizing algorithm (BOA) is one of the metaheuristic algorithms and applied here to interpret self-potential (SP) data. The BOA is depending upon a bat echolocation behavior for global optimization, which the global optimum solution reached at the suggested minimum value of the objective function. The best interpretive source parameters for the subsurface structures occurred at the minimal the objective function value (global best solution). The BOA is applied to 2D SP anomaly data to estimate the characteristic source parameters (i.e., the depth to center, amplitude coefficient, origin location, geometric shape factor, and polarization and inclination angle of the causative buried structure). The BOA can be applied to single and multiple source structures in the restricted class of simple geometric shapes, which these bodies help in the validation of the subsurface ore and mineral targets. The stability and efficiency of the proposed BOA have been examined by several synthetic examples. In addition, three different real field examples from Germany and Indonesia have been successfully applied to ore and mineral investigation and geological structure studies. In general, the achieved results are in good agreement with the available borehole data and results mentioned in the literature.
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Gravity and magnetic field datasets coupled with Shuttle Radar Topography Mission (SRTM) digital elevation data over north-western Nigeria were interpreted to delineate subsurface and surface structures, and determine their influence on the drainage system within Sokoto Basin and its surrounding environment. The Improved Logistic Filter and Euler Deconvolution techniques were applied to the residual fields of the gravity and magnetic data to delineate lineaments and their depths of occurrence, respectively. The lineaments mapped from gravity and magnetic data revealed a major N–S and NE–SW, and W–E trend respectively and in several cases were aligned with surface lineaments from the SRTM digital elevation data. The results revealed that the drainage channel of Rivers Niger, Sokoto, Rima, Zamfara, Ka, Kasanu, Gagere, Kuromoni, Malendo and Kontagora are closely aligned with several lineaments emanating from the underlying basement. The 2-D forward models confirmed the presence of these lineaments and delineated intrusives within Sokoto Basin. This study concluded that the drainage system of north-western Nigeria is structurally controlled.
Istotną rolą inżynierów budownictwa jest diagnostyka i utrzymanie obiektów już istniejących. Szereg problemów pojawiających się w obiektach budowlanych spowodowany jest błędami powstałymi na etapie projektowania i wykonawstwa lub niewłaściwej eksploatacji. Występowanie różnego typu usterek wymaga szczegółowej diagnostyki przyczyn oraz przedstawienia rozwiązań mających na celu ich usunięcie oraz propozycję napraw już występujących uszkodzeń. W niniejszym artykule autorzy przedstawili kilka przykładów usterek występujących w budynkach mieszkalnych, spowodowanych błędami projektowymi lub wykonawczymi. Usterki te dotyczyły zarówno zagadnień związanych z konstrukcją obiektów, jak i niekorzystnymi zjawiskami z zakresu fizyki budowli. Zaprezentowano też zastosowane metody usunięcia usterek i naprawy uszkodzeń.
EN
An important role of civil engineers is diagnostics and maintenance of existing facilities. A number of problems appearing in building structures are caused by errors arising at the stage of design and execution or improper operation. The occurrence of various types of faults requires detailed diagnosis of the causes and presentation of solutions aimed at their removal and a proposal to repair the already existing faults. In this article, the authors present a few examples of failures in residential buildings caused by design or construction errors. These defects concerned both issues related to the construction of objects and unfavorable phenomena in the field of building physics. The methods of removing faults and repairing damages were also presented.
Podczas realizacji robót budowlanych często pojawiają się różne wady fizyczne, które wpływają na jakość, a także na stan techniczny wykonywanego obiektu budowlanego. Nieprawidłowości mogą warunkować odbiór prac bądź wpływać znacząco na wydłużenie czasu trwania procedury odbiorowej, generując opóźnienia. W niniejszym artykule podjęto próbę wskazania najczęściej występujących usterek budowlanych, pojawiających się podczas budowy zasadniczych elementów konstrukcyjnych nawierzchni kolejowej.
EN
During the implementation of construction works, various physical defects often appear, which affect the quality and technical condition of the building object. Irregularities may condition the acceptance of works or significantly extend the duration of the acceptance procedure, generating delays. This article attempts to identify the most common construction faults that appear during the construction of the main structural elements of the railway track.
Vibration analysis for conditional preventive maintenance is an essential tool for the industry. The vibration signals sensored, collected and analyzed can provide information about the state of an induction motor. Appropriate processing of these vibratory signals leads to define a normal or abnormal state of the whole rotating machinery, or in particular, one of its components. The main objective of this paper is to propose a method for automatic monitoring of bearing components condition of an induction motor. The proposed method is based on two approaches with one based on signal processing using the Hilbert spectral envelope and the other approach uses machine learning based on random forests. The Hilbert spectral envelope allows the extraction of frequency characteristics that are considered as new features entering the classifier. The frequencies chosen as features are determined from a proportional variation of their amplitudes with the variation of the load torque and the fault diameter. Furthermore, a random forest-based classifier can validate the effectiveness of extracted frequency characteristics as novel features to deal with bearing fault detection while automatically locating the faulty component with a classification rate of 99.94%. The results obtained with the proposed method have been validated experimentally using a test rig.
This paper focuses on situations in Medium Voltage (MV) grids where a feeder´s breaker failure occurred. This type of fault is quite severe but well handled in higher voltage systems (high voltage, extra high voltage, etc.), basically in looped grids. However, medium voltage grids were built in a different way even in terms of protection relay in power systems, automatics and backups. Several cases of a breaker failure situation have led us to reconsider the existing protection relay scheme used in Západoslovenská distribučná, a. s. (ZSD) – a distribution system operator. The paper also provides suggestions for a real operation – principle of a breaker failure protection by coordination is improved.
PL
W niniejszym artykule skupiono się na sytuacjach w sieciach średniego napięcia (SN), w których wystąpiła awaria wyłącznika linii zasilającej. Ten rodzaj błędu jest dość poważny, ale dobrze obsługiwany w systemach wyższego napięcia (wysokie napięcie, bardzo wysokie napięcie itp.), zasadniczo w sieciach zapętlonych. Jednak sieci średniego napięcia były budowane w inny sposób nawet w zakresie zabezpieczeń w układach elektroenergetycznych, automatyki i rezerwowania. Kilka przypadków awarii wyłączników skłoniło nas do ponownego rozważenia istniejącego schematu przekaźnika zabezpieczeniowego stosowanego w Západoslovenská distribučná, a. s. (ZSD) – operator systemu dystrybucyjnego. W artykule zawarto również sugestie dotyczące rzeczywistego działania – udoskonalono zasadę działania zabezpieczenia od uszkodzenia wyłącznika przez koordynację.
In this paper the analysis of online diagnostics of synchronous generations (SG) are presented. The main focus is done on different fault identification methods. The main causes for the failure of synchronous generators and the development of fault tree for different elements of synchronous generators are presented. Also presented the determination of the index of residual lifetime, for hydrogen cooled turbo generator of capacity 165 MW.
PL
W artykule przedstawiono stan wiedzy na temat różnych metod diagnostyki generatorów synchronicznych (SG). Szczególną uwagę zwraca się na metodologie identyfikacji awarii Przedstawiono główne awarie SG. W artykule stworzono drzewo błędów dla głównych elementów SG. Przedstawiono wyznaczenie wskaźnika resztkowej żywotności turbogeneratorów chłodzonych wodorem o mocy 165 MW.
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The fourth technical revolution has undoubtedly become a fact. It has affected, and that to a large extent, the automotive industry. Motor vehicles provided with driver-assistance systems have appeared, such as those warning of obstacles, maintaining a safe distance from preceding vehicles, informing of a blind spot, or autonomously automatically adjusting speed, slowing down, following navigation, etc., the role of the driver only being to indicate the destination. However, should the driver have full confidence in those systems, and allow for the mistakes they make, and what impact will this have on their possible criminal liability? These are the issues raised in the publication, which at the same time points out that the legal systems are absolutely not adapted to modern technologies, artificial intelligence, or the assessment of so-called robot drivers.
PL
Czwarta rewolucja techniczna stała się niewątpliwie faktem. Dotknęła ona, i to w szerokim zakresie, motoryzację. Pojawiły się pojazdy samochodowe wyposażone w systemy wspomagające kierujących, ostrzegające o przeszkodach, automatycznie zwalniające, utrzymujące bezpieczną odległość od poprzedników, zapobiegające zajechaniu drogi czy też autonomiczne same regulujące prędkość, zwalnianie, śledzące nawigację itp., a rolą kierującego było wyłącznie wskazanie celu podróży. Czy jednak kierujący powinien mieć pełne zaufanie do tych systemów, liczyć się z popełnionymi przez nie błędami, jakie będzie miało to znacznie dla jego ewentualnej odpowiedzialności karnej? Są to zagadnienia poruszone w publikacji, która jednocześnie wskazuje, że systemy prawne absolutnie nie są dostosowane do nowoczesnych technologii, sztucznej inteligencji i oceny tzw. kierujących samochodami będącymi robotami.
Nieprawidłowo zaprojektowane lub wykonane połączenia balustrad prowadzą do degradacji warstw wykończeniowych, powstawania nadmiernych przemieszczeń, zmniejszenia poczucia bezpieczeństwa mieszkańców, a nawet awarii budowlanych. W artykule wskazano na genezę wad, a także zbadano stan degradacji połączeń balustrad i wykończenia płyt balkonowych w budynku OWT po 21 latach eksploatacji. Ponadto przeanalizowano szereg współcześnie wykonywanych projektów balustrad oraz zweryfikowano obliczeniowo nośność połączeń w różnorodnych wariantach. Brak w aktualnych normach jednoznacznej wartości obciążeń przekazywanych na balustrady może powodować przekroczenie stanów granicznych w stalowych elementach kotwiących i prowadzić do ich degradacji lub awarii. Konsekwencją tych wad jest konieczność licznych napraw oraz pogorszenie komfortu mieszkańców. Istotne jest jednoznaczne określenie dopuszczalnych obciążeń działających na balustrady i opracowanie wytycznych sposobu ich montażu.
EN
Incorrectly designed or constructed balustrade connections lead to finish degradation, excessive displacement, reduced occupant safety and failure. The article points out the genesis of the faults, investigates the degradation state of the balustrade connections and balcony slab finishes in the OWT building after 21 years of operation. In addition, a number of modern balustrade designs were analysed and the load-bearing capacity of the connections in different variants was verified computationally. The lack of a clear value in the current standards for loads transferred to balustrade elements can cause limit states to be exceeded in steel anchoring elements and lead to degradation or failure. The consequence of failure is repairs and reduced comfort for residents. It is important to clearly define the permissible loads for balustrades and their installation guides.
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Difficult understanding of gravity effects on the 2D vertical and inclined faults for the delineation of subsurface structure for gravity exploration is slow and cumbersome. Hence, a fast and efficient algorithm is established for the interpretation of gravity anomaly over 2D inclined and vertical fault. The method can simultaneously determine all parameters such as the depth to the top (z) and base (h), dip angle (α), amplitude coefficient (k), and location of the fault plane on the surface (x0) of a hidden thin faulted slab from the observed gravity data. The developed algorithm can effectively interpret all parameters for dipping and vertical fault even though there is no subsurface drilling information. Interpretation of all the parameters suggests that there is no uncertainty for 2D inclined and vertical fault. However, if the detachment tip of the fault is at a larger depth, then the dip of the fault shows some uncertainty. The present code has been applied to non-noisy synthetic anomaly data and Gaussian noisy anomaly. Furthermore, the algorithm was also verified on three field examples from Egypt, and the USA for exploration. The appraised value of all the parameters is found to be in decent agreement with earlier published works and borehole information wherever available.
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