Methods for calculation of the marginal exploitation lifespan of power transformers 35 rV and higher based on the state index

A methods for determining the marginal exploitation lifespan of a transformer based on a complex diagnostic survey was developed. The integral evaluation of the technical state of the transformers is performed according to the value of the condition index. An example of the marginal exploitation lifespan calculation of the transformer according to the real initial data is given. The application of the methods will allow to proceed to the planning of technical re-equipment and reconstruction of energy facilities taking into account the technical condition of the equipment.

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Electroresistive method for monitoring the technical condition, quality, reliability and safety the supports of rolling of electrical machines

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1211/1/012021 ◽

2022 ◽

Vol 1211 (1) ◽

pp. 012021

Author(s):

K V Podmasreryev ◽

V V Markov ◽

V V Mishin ◽

A V Selikhov ◽

N V Uglova

Keyword(s):

Mathematical Modeling ◽

Electrical Resistance ◽

Experimental Studies ◽

Rolling Bearing ◽

Technical Condition ◽

Electric Machines ◽

The State ◽

Electrical Machines ◽

Technical State ◽

Internal Environment

Abstract The necessity of monitoring the technical condition of the rolling supports of electric machines has been substantiated. It is proposed to use the electrical resistance of the bearing as an indicator of the technical condition the rolling support. The results of mathematical modeling of electrical resistance in the form of a function of resistance from factors of the internal environment of the bearing and modes of its assembly and operation in a rolling bearing are presented. An electroresistive method for monitoring the technical state the rolling support is proposed, which differs from the known methods by original algorithms for collecting information about the state of bearing parts, experimental studies have been carried out to confirm the efficiency of this method.

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Development of Operation and Diagnostic Algorithm Complex for Technical Condition Assessment of Power Transformers in Permissible Risk Circumstances

10.7250/9789934226175 ◽

2021 ◽

Author(s):

◽

Gints Poišs

Keyword(s):

Power Transformer ◽

Diagnostic Algorithm ◽

Condition Index ◽

Technical Condition ◽

Transmission System ◽

Diagnostic Methods ◽

Data Availability ◽

Power Transformers ◽

Risk Level ◽

Data Set

A power transformer is a key unit in the transmission system, and its cut-off can impact both consumers and the general stability of the system. Therefore, it is an important tool for processing the operational and technical condition data to quantify them as the technical condition index (TCI). Based on the technical condition of the power transformer, the TCI enables objective and reasoned decisions on the future investments related to replacement or repairs of transformers. Thus, by using the TCI, the service life of the transformer can be safely extended, since the identified risks have been recognized and are being followed-up. The TCI method is useful for a power transformer park, because it allows easy identification of transformers that require most attention. A crucial precondition for this method is data availability, diversity, and regularity or frequency of data collection. These features (preconditions) may vary in different power transmission systems, and it creates the necessity for a tailored approach. The present Doctoral Thesis studies the diagnostic methods used in the transmission system in Latvia and the results thereof. Thus, it takes advantage of an already existing data set and flow to develop a TCI-based complex of algorithms for determining the risk level of high-power transformers in acceptable risk conditions.

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PREDICTING THE TECHNICAL CONDITION OF AN ELECTRIC SUBMERSIBLE PUMP BASED ON NEURAL NETWORK MODELING

Bulletin of the South Ural State University Ser Computer Technologies Automatic Control & Radioelectronics ◽

10.14529/ctcr200404 ◽

2020 ◽

Vol 20 (4) ◽

pp. 37-46

Author(s):

I.V. Karakulov ◽

◽

A.V. Kluiev ◽

V.Yu. Stolbov ◽

◽

...

Keyword(s):

Neural Network ◽

Neural Networks ◽

Time Series ◽

Initial Data ◽

Monitoring System ◽

Technical Condition ◽

The State ◽

Equipment Failure ◽

Submersible Pump ◽

Electric Submersible Pump

The problem of predicting the state of an Electric Submersible Pump during operation is considered. Downtime and shortages caused by pump failure lead to losses in oil pro-duction and require time to replace equipment. By predicting the condition of the equipment, it is possible to minimize pump maintenance costs and reduce well downtime. Expert systems and pre-dictive analytics methods are used to analyze the state of systems. The scientific work uses methods that are based on artificial neural networks. Purpose of research. Elaboration of the issues of fore-casting the technical condition of the pump through by using machine-learning models. Materials and methods. Equipment failure forecasting is carried out using time series analysis. The data was obtained from telemetric sensors of the monitoring system installed on an electric submersible pump. The initial data were taken at one-minute intervals. Initial data preprocessing was carried out. The data was cleared of values (peaks) that are clearly got out of normal operation and places where the phase voltage was equal to zero were removed. An artificial neural network with the LSTM neuron type is used to predict time series. Time series forecasting was carried out for five days. Evaluating system parameters over long periods allows you to assess the condition of its compo-nents and prevent equipment failure. Results. The possibilities of neural networks trained on the ba-sis of data from telemetric sensors of the monitoring system for predicting the values of vertical vi-bration of the pump are investigated. The use of a neural network model in the form of LSTM, which has shown good results in the analysis of time series, is justified. It was found that neural net-works capture the trend well within the time series, which indicates the possibility of using it together with the expert system. Conclusion. The proposed methods and models are tested on real data, which confirms the possibility of their use in the development of an intelligent information system for managing the technical condition of an Electric Submersible Pump during operation.

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Chasing Angels: The Sweet Wine Angelica

Gastronomica The Journal of Food and Culture ◽

10.1525/gfc.2008.8.3.74 ◽

2008 ◽

Vol 8 (3) ◽

pp. 74-78

Author(s):

hank shaw

Keyword(s):

The State ◽

The Real ◽

Mission Period ◽

History Of ◽

Uncertain Future ◽

Sweet Wine ◽

Made In

Portugal has port, Spain has sherry, Sicily has Marsala –– and California has angelica. Angelica is California's original wine: The intensely sweet, fortified dessert cordial has been made in the state for more than two centuries –– primarily made from Mission grapes, first brought to California by the Spanish friars. Angelica was once drunk in vast quantities, but now fewer than a dozen vintners make angelica today. These holdouts from an earlier age are each following a personal quest for the real. For unlike port and sherry, which have strict rules about their production, angelica never gelled into something so distinct that connoisseurs can say, ““This is angelica. This is not.”” This piece looks at the history of the drink, its foggy origins in the Mission period and on through angelica's heyday and down to its degeneration into a staple of the back-alley wino set. Several current vintners are profiled, and they suggest an uncertain future for this cordial.

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Method of tribodiagnostics of d-30KU engines/KP with the use of a microwave plasma complex: results of metrological examination and analysis of the accuracy

The world of measurement ◽

10.35400/1813-8667-2020-4-22-29 ◽

2020 ◽

pp. 22-29

Author(s):

A. Bogoyavlenskiy ◽

A. Bokov

Keyword(s):

Gas Turbine ◽

Microwave Plasma ◽

Technical Condition ◽

The State ◽

Turbine Engines ◽

Metrological Examination ◽

Gas Turbine Engines ◽

High Frequency Plasma ◽

Frequency Plasma ◽

Primary Standards

The article contains the results of the metrological examination and research of the accuracy indicators of a method for diagnosing aircraft gas turbine engines of the D30KU/KP family using an ultra-high-frequency plasma complex. The results of metrological examination of a complete set of regulatory documents related to the diagnostic methodology, and an analysis of the state of metrological support are provided as well. During the metrological examination, the traceability of a measuring instrument (diagnostics) – an ultrahigh-frequency plasma complex – is evaluated based on the scintillation analyzer SAM-DT-01–2. To achieve that, local verification schemes from the state primary standards of the corresponding types of measurements were built. The implementation of measures to eliminate inconsistencies identified during metrological examination allows to reduce to an acceptable level the metrological risks of adverse situations when carrying out aviation activities in industry and air transportation. In addition, the probability of occurrence of errors of the first and second kind in the technological processes of tribodiagnostics of aviation gas turbine engines is reduced when implementing a method that has passed metrological examination in real practice. At the same time, the error in determining ratings and wear indicators provides acceptable accuracy indicators and sufficient reliability in assessing the technical condition of friction units of the D-30KP/KP2/KU/KU-154 aircraft engines.

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Single-Satellite Integrated Navigation Algorithm Based on Broadband LEO Constellation Communication Links

Remote Sensing ◽

10.3390/rs13040703 ◽

2021 ◽

Vol 13 (4) ◽

pp. 703

Author(s):

Lvyang Ye ◽

Yikang Yang ◽

Xiaolun Jing ◽

Jiangang Ma ◽

Lingyu Deng ◽

...

Keyword(s):

Real Time ◽

Satellite Communication ◽

The State ◽

Earth Orbit ◽

Integrated Navigation ◽

Location Services ◽

The Real ◽

Navigation Algorithm ◽

Communication Links ◽

Leo Satellite

With the rapid development of satellite technology and the need to satisfy the increasing demand for location-based services, in challenging environments such as indoors, forests, and canyons, there is an urgent need to improve the position accuracy in these environments. However, traditional algorithms obtain the position solution through time redundancy in exchange for spatial redundancy, and they require continuous observations that cannot satisfy the real-time location services. In addition, they must also consider the clock bias between the satellite and receiver. Therefore, in this paper, we provide a single-satellite integrated navigation algorithm based on the elimination of clock bias for broadband low earth orbit (LEO) satellite communication links. First, we derive the principle of LEO satellite communication link clock bias elimination; then, we give the principle and process of the algorithm. Next, we model and analyze the error of the system. Subsequently, based on the unscented Kalman filter (UKF), we model the state vector and observation vector of our algorithm and give the state and observation equations. Finally, for different scenarios, we conduct qualitative and quantitative analysis through simulations, and the results show that, whether in an altimeter scenario or non-altimeter scenario, the performance indicators of our algorithm are significantly better than the inertial navigation system (INS), which can effectively overcome the divergence problem of INS; compared with the medium earth orbit (MEO) constellation, the navigation trajectory under the LEO constellation is closer to the real trajectory of the aircraft; and compared with the traditional algorithm, the accuracy of each item is improved by more than 95%. These results show that our algorithm not only significantly improves the position error, but also effectively suppresses the divergence of INS. The algorithm is more robust and can satisfy the requirements of cm-level real-time location services in challenging environments.

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Analysis of vibrodiagnostics methods in the technical state study of designed multimedia mobile scenes

MATEC Web of Conferences ◽

10.1051/matecconf/201930201011 ◽

2019 ◽

Vol 302 ◽

pp. 01011

Author(s):

Marcin Łukasiewicz ◽

Michał Liss ◽

Natalia Dluhunovych

Keyword(s):

Modal Analysis ◽

Diagnostic Tests ◽

Research Process ◽

Technical Condition ◽

Technical State ◽

Normal Operation ◽

Design Stage ◽

Analysis Methods ◽

State Study ◽

Diagnostic Research

The paper presents the possibilities of using vibroacoustic methods in the study of the technical condition of designed multimedia mobile scenes. In particular, the possibility of implementing modal analysis methods in modelling and diagnostic research process has been presented. The use of virtual methods enables diagnostic tests both at the design stage and at the stage of normal operation, whereas modal methods help to explain the nature of the work of the element under investigation.

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A Survey of Real-Time Industrial Wireless LAN Research

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.738-739.1105 ◽

2015 ◽

Vol 738-739 ◽

pp. 1105-1110 ◽

Cited By ~ 1

Author(s):

Yuan Qing Qin ◽

Ying Jie Cheng ◽

Chun Jie Zhou

Keyword(s):

Real Time ◽

Future Development ◽

Wireless Lan ◽

State Of The Art ◽

The State ◽

Local Networks ◽

The Real ◽

Time Requirements ◽

And Performance ◽

Fundamental Mechanism

This paper mainly surveys the state-of-the-art on real-time communicaton in industrial wireless local networks(WLANs), and also identifys the suitable approaches to deal with the real-time requirements in future. Firstly, this paper summarizes the features of industrial WLANs and the challenges it encounters. Then according to the real-time problems of industrial WLAN, the fundamental mechanism of each recent representative resolution is analyzed in detail. Meanwhile, the characteristics and performance of these resolutions are adequately compared. Finally, this paper concludes the current of the research and discusses the future development of industrial WLANs.

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