scholarly journals DETERMINATION OF OPERATIONAL RELIABILITY INDICATORS OF AVIATION EQUIPMENT TAKING INTO ACCOUNT ICAO RECOMMENDATIONS

2021 ◽  
pp. 25-35
Author(s):  
O.L. Bursala ◽  
V.M. Golub ◽  
O.M. Cherednikov ◽  
V.M. Chupryna ◽  
I.V. Kovalenko
Keyword(s):  
Operational Reliability ◽  
Functional Systems ◽  
Reliability Indicators ◽  
Equipment Reliability

On the basis of the developed technique for estimation of aviation equipment reliability indicators, the results of determination of orientating reliability indicators of helicopters and their functional systems are presented. The list and the main reasons for the change of reliability indicators for 2016–2020 are determined.

scholarly journals DETERMINATION OF MAINTENANCE PRIORITY INDEX (MPI) FOR COMPONENTS ON RSG-GAS SAFETY SYSTEM

2018 ◽  
Vol 20 (2) ◽  
pp. 77 ◽  
Author(s):  
Entin Hartini ◽  
Sukmanto Dibyo ◽  
Santosa Pujiarta
Keyword(s):  
Operating System ◽  
Operational Reliability ◽  
Safety System ◽  
System Component ◽  
Priority Index ◽  
Reliability Management ◽  
Equipment Reliability ◽  
Gas System ◽  
Safety Systems

Reliability management is an activity to ensure no failure of all equipment when operated. Reliability management can be optimized to minimize costs or eliminate failures and causes. Critical equipment is the condition of a potentially damaging component affecting the operational reliability of the system. The criticality level of each equipment determines its impact on the operating system and the direction of maintenance improvement. The research was conducted on the main system/component of the operating system and performed at the level of reliability improvement. The purpose of this research is to prioritize the reliability of systems and equipment for safety systems using System Equipment Reliability Prioritization (SERP). Determination of component criticality level on reliability management based on category rankings of frequency data and duration of interference with certain criteria as well as system aspects, safety, quality and cost. From the evaluation results it can be concluded that the MPI of the RSG-GAS system/ component for the top 5 if sorted are KBE01 AP-01-02, PA01-02 / CR001, KBE02 AA-01/ AA-02, JE-01 (AP01-02 ) and JNA10 / 20/30 BC001 with  MPI values 143,101, 95, 90 and 60.Keywords: Maintenance, priority, index, safety system, RSG-GAS PENENTUAN MAINTENANCE PRIORITY INDEX (MPI) UNTUK KOMPONEN PADA SISTEM KESELAMATAN RSG-GAS. Manajemen keandalan  merupakan suatu kegiatan untuk menjamin tidak terjadinya suatu kegagalan pada seluruh komponen saat dioperasikan. Dengan manajemen keandalan dapat dilakukan optimasi untuk meminimumkan biaya atau menghilangkan kegagalan dan penyebabnya. komponen kritis merupakan kondisi suatu komponen yang berpotensi mengalami kerusakan yang berpengaruh pada keandalan operasional sistem. Tingkat kekritisan dari setiap komponen menentukan dampaknya terhadap sistem operasi dan arah penyempurnaan pemeliharaan. Penelitian dilakukan pada sistem/komponen yang utama dari sistem operasi dan dilakukan pada level peningkatan keandalan. Tujuan dari penelitian ini adalah menentukan indeks prioritas pemeliharaan (MPI) untuk peringkat keandalan sitem/komponen pada system keselamatan menggunakan metode System Equipment Reliability Prioritization (SERP). Penentuan tingkat kekritisan komponen pada manajemen keandalan berdasarkan peringkat kategori dari data durasi dan frekuensi gangguan  dengan kriteria tertentu serta aspek sistem, keselamatan, kualitas dan biaya. Dari hasil evaluasi dapat disimpulkan bahwa MPI dari sistem/komponen RSG-GAS untuk 5 teratas jika diurutkan adalah: KBE01 AP-01-02, PA01-02 / CR001, KBE02 AA-01 / AA-02, JE-01 (AP01-02) dan JNA10 / 20/30 BC001 dengan nilai MPI berturut turut 143,101, 95, 90 dan 60.Kata kunci:         Pemeliharaan, prioritas, indeks, sistem keselamatan, RSG-GAS

scholarly journals DETERMINATION OF THE TREND OF CHANGES OF RELIABILITY INDICATORS OF STATE AVIATION HELICOPTERS ACCORDING TO OPERATING DATA

2020 ◽  
pp. 17-27
Author(s):  
V. Golub ◽  
V. Bashynskyi ◽  
M. Zhdaniuk
Keyword(s):  
High Reliability ◽  
Statistical Processing ◽  
Armed Forces ◽  
Operational Reliability ◽  
Flight Safety ◽  
Aviation Accidents ◽  
Reliability Indicators ◽  
Equipment Reliability ◽  
Reliability Characteristics ◽  
Different Types

The most important characteristics of the processes efficiency in aircraft equipment technical operation are the operational reliability characteristics. High reliability of aviation equipment is the main condition for its readiness, efficiency and safety. The aircraft equipment reliability is its ability to perform specified functions, maintaining during some time the values of the established flight and technical and operational indicators within the specified limits, which correspond to the specified modes and conditions of use, maintenance, repair, storage and transportation. Despite the quick scientific and technological progress in aviation, the problem of flights safety has become extremely acute in the present time. Empirical data statistical processing is an urgent task in monitoring of the Ukrainian Armed Forces aircrafts operation and determining trends in maintenance and repair, areas of modernization of armaments and military equipment. The subject of the work is the analysis and system approach based on the developed estimation technique of aviation equipment reliability indicators. The results of determined helicopters and their functional systems reliability are presented. The trend and the main reasons for the change in reliability indicators for 2016-2019 are determined. The main purpose of reliability analysis is to determine the causal relationships between quantitative and qualitative reliability indicators and the level of flight safety that lead to aviation accidents. Statistical information in the form of fault records and reports, where the generalized operational data are sent by the State aviation units according to the methodical recommendations. Indicators analysis of operational reliability and flights safety for helicopters according to statistical data of failures, damages and incidents is done. Moreover, the trend and the main reasons for the helicopters reliability indicators changes for the period 2016-2019 are defined. The results of research are presented in the final tables, which show the average values of operational reliability, flight safety and the level of combat flight task for different types of helicopters in all specialties. The causes of malfunctions that affect the level of operational reliability, flight safety and non-fulfillment of the flight task on helicopters for the period 2015-2019 were taken into account. According to the statistics analysis of the malfunctions reported causes , it is determined that the total number of reported malfunctions on different types of helicopters in 2019 increased by 11.0% compared to 2018, compared to 2017 by 43.7%, compared to 2016 by 58.4%, compared to 2015 by 70.0%.

DEFINITION OF TIME SPENT ON REPAIR OF BUS TRANSMISSION UNITS TAKING INTO ACCOUNT TECHNOLOGICAL EQUIPMENT RELIABILITY

2020 ◽  
Vol 2020 (9) ◽  
pp. 29-33
Author(s):  
Sergey Bulatov
Keyword(s):  
Negative Impact ◽  
Probabilistic Method ◽  
Technological Equipment ◽  
Quality And Safety ◽  
Transmission Unit ◽  
Equipment Reliability ◽  
Hours Of Work ◽  
Definition Of ◽  
Time Decrease

The paper purpose is the effectiveness estimation in the technological equipment use, taking into account its reliability and productivity for defective transmission units of buses. The problem consists in the determination of time to be spent on repair of bus transmission units taking into account technological equipment reliability. In the paper there is used a probabilistic method for the prediction bus transmission units, and also a method of the dynamics of averages which allow ensuring minimum of costs for units downtime during repair and equipment cost. The need for repair of transmission units (gear box) arises on an average after 650 hours, the average productivity of the bench makes 4.2 bus / hour. The bench fails on the average after 4600 hours of work, the average time of the bench makes 2 hours. In such a way the solution of the problem specified allows analyzing the necessity of time decrease for transmission unit repair to avoid long downtimes of buses in repair areas without negative impact upon high repair quality and safety during the further operation.

scholarly journals Method of Estimating Uncertainty as a Way to Evaluate Continuity Quality of Power Supply in Hospital Devices

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 486
Author(s):  
Marek Stawowy ◽  
Adam Rosiński ◽  
Jacek Paś ◽  
Tomasz Klimczak
Keyword(s):  
Power Systems ◽  
Power Supply ◽  
Uncertainty Modeling ◽  
Supply System ◽  
Additional Advantage ◽  
Quality Models ◽  
Reliability Indicators ◽  
Electrical Devices

The article presents issues related to the determination of the continuity quality of power supply (CQoPS) for hospital electrical devices. The model describing CQoPS takes into account power redundancy. The uncertainty modeling method based on the certainty factor (CF) of the hypothesis was used to establish the single-valued CQoPS factor. CQoPS modeling takes into account multidimensional quality models and physical stages of power. The quality models take into account seven dimensions that make up CQoPS (availability, appropriate amount, power supply reliability, power quality, assurance, responsiveness, security). The model of power stages includes five of these stages (power generation, delivery to recipient, distribution by recipient, delivery to device, power-consuming device). To date, when designing hospital power systems, the applied reliability indicators revealed limitations because they do not consider all the possible factors influencing the power continuity. Estimating the supply continuity quality with the use of the uncertainty modeling proposed in this article allows for taking into account all possible factors (not just reliability factors) that may affect supply continuity. The presented modeling offers an additional advantage, namely, it allows an expanded evaluation of the hospital supply system and a description using only one indicator. This fact renders the evaluation of the supply system possible for unqualified staff. At the end of the article, some examples of calculations and simulations are presented, thus showing that the applied methods give the expected results.

scholarly journals Reliability of the RBMK-1000 coolant flow measurement system

2019 ◽  
Vol 5 (1) ◽  
pp. 81-87
Author(s):  
Arkady I. Pereguda
Keyword(s):  
Mathematical Model ◽  
Measurement System ◽  
Flow Measurement ◽  
Rotation Period ◽  
Operation Time ◽  
Operational Reliability ◽  
Coolant Flow ◽  
Reliability Indicators ◽  
Parametric Reliability ◽  
Two Parameters

An analysis of statistical data of diagnostic measurements of two parameters determining the performance of the RBMK-1000 SHADR-8A flowmeters – the minimum value of the negative amplitude half-wave at the transistor flow measuring unit (TIBR) input and the mean-square deviation over the flowmeter ball rotation period – made it possible to develop a mathematical model of the flowmeter parametric reliability. This mathematical model is a random process, which is a superposition of two delayed renewal processes. Studying the flowmeter operational reliability model provides an exponential estimate of the probability that the parameters determining the flowmeter performance will not exceed the specified levels. Using the Bernoulli scheme and the probability-estimating relationship for the flowmeter performance parameters, it is possible to calculate the probability of failure-free operation of both a single reactor quadrant and the coolant flow measurement system. In addition, it becomes possible to estimate the quadrant failure rate. Important for practice is the possibility of predicting the number of failed flowmeters depending on the system operation time. An indicator of the system reliability can be the average number of failed flowmeters, the relation for which is given in the paper. All the research results were obtained without any additional assumptions about the random values distribution laws. The obtained results can be easily generalized for the cases when the vector dimension of the determining parameters is greater than two. The use of the results of this study is illustrated by calculated quantitative values of the flowmeter parametric reliability indicators and the coolant flow measurement system.

scholarly journals Construction reorganization as a type of high-rise construction and environmental protection

2020 ◽  
Vol 164 ◽  
pp. 02010
Author(s):  
Robert Avetisyan ◽  
Muhammad Khalil ◽  
Natalya Galaeva ◽  
Ruben Kazaryan
Keyword(s):  
Environmental Protection ◽  
Performance Indicator ◽  
Operational Reliability ◽  
The Other ◽  
Industrial Building ◽  
High Rise ◽  
Functional Zone ◽  
Integrated Performance

Construction reorganization, as a type of high-rise construction is part of a basic reorganization cycle in which four phases (phases, states, technological redistribution) are consistently implemented: device, disorganization, reorganization and co-organization. Loft style methodology: the integrated performance indicator organizational and technological operational reliability (OTOR) of the Loft room, which is determined with the help of stellar infographic models, makes it possible to prove arguably the necessity or absence of the need to reorganize the former industrial building. The assessment of the functional zone of the level of the OTOR indicators in the system of the infographic model, in which the number of axes emanating from the point “zero”, corresponds to the number of parameters characterizing a specific functional zone. Valuation parameters are ranked in accordance with their tendency towards centripetal and centrifugal. The field of our research lies in the phase of reconstruction. The determination of the level of OTOR of one functional zone is formed by the construction of two infographic star-shaped models, one of which is constructed by centripetal indicators, and the other by centrifugal indicators.

On Determination of Sample Size to Evaluate Reliability Growth Plans

2011 ◽  
Author(s):  
X. Jin ◽  
P. Woytowitz ◽  
T. Tan
Keyword(s):  
Sample Size ◽  
Confidence Level ◽  
Semiconductor Manufacturing ◽  
Field Performance ◽  
Reliability Growth ◽  
Confidence Levels ◽  
Equipment Reliability ◽  
Margin Of Error ◽  
Reliability Performance

The reliability performance of Semiconductor Manufacturing Equipments (SME) is very important for both equipment manufacturers and customers. However, the response variables are random in nature and can significantly change due to many factors. In order to track the equipment reliability performance with certain confidence, this paper proposes an efficient methodology to calculate the number of samples needed to measure the reliability performance of the SME tools. This paper presents a frequency-based Statistics methodology to calculate the number of sampled tools to evaluate the SME reliability field performance based on certain confidence levels and error margins. One example case has been investigated to demonstrate the method. We demonstrate that the multiple weeks accumulated average reliability metrics of multiple tools do not equal the average of the multiple weeks accumulated average reliability metrics of these tools. We show how the number of required sampled tools increases when the reliability performance is improved and quantify the larger number of sampled tools required when a tighter margin of error or higher confidence level is needed.

scholarly journals METHODOLOGICAL APPROACH TO DETERMINATION OF THE TREND OF CHANGES IN AIRCRAFT RELIABILITY INDICATORS OF AVIATION EQUIPMENT ON THE EXAMPLE OF STATE AVIATION HELICOPTERS

2020 ◽  
pp. 42-51
Author(s):  
V. Golub ◽  
O. Bursala ◽  
V. Chupryna
Keyword(s):  
Methodological Approach ◽  
Statistical Processing ◽  
Armed Forces ◽  
Mean Value ◽  
Control Limit ◽  
Acceptable Level ◽  
Reliability Indicators ◽  
The Mean ◽  
Index Level

The problem of flight tsafety , without regard to swift scientific and technical progress in industry of aviation equipment, become exceptionally sharp in our time. The statistical processing of empiric data is an actual task in monitoring of process of exploitation of propulsion MODULE of the Armed Forces of Ukraine and determination of tendencies of technical service and repair, directions of modernisation of armament and military equipment. The article considers the approach of the systems to the evaluation of reliability and safety of flights in relation to accomplishment of combat missions and preventionof aviation accidents. A methodological approach to the mathematical processing of statistical information for the period 2016-2019 on malfunctions was developed. The quantitative evaluation of their level is conducted on the generally accepted standardized indexes (statistical and probabilistic), specific methodology was here used. Index "parameter of failure flow" that characterizes the level of operating reliability and index "level of accident rate" that characterizes safety of flights were used in this methodology on ІСАО recommendation. Certain trends of changes of these indexes, the “upper control limit of reliability" and the considered conception of acceptable level of safety performance ( ALoSP) are expected for future periods for the different types of helicopters. On the base of operating data, the prognosis indexes expected, "upper control limit of reliability" on 2020 for the specific types of helicopters. As expected, according to obtained results, for all types of helicopters the mean value of this index will make not more than 4,3 failures per 100 flight hours. In accordance to conception of "acceptable level of "ALoSP" it is possible to distinguish three levels or "triggers" of flights safety : Acceptable level (Acceptable), special purpose level (Target), Critical level (Alert). These "triggers" are calculated taking into account the mean value of statistical sets of data about failures (for the last 3 years) and standard deviation that gives an opportunity to define the necessary additional measures of management to provide safety of flights. Authors came to the conclusion that conception of ALoSP is suitable for the evaluation of efficiency to provide flights safety of aviation of the Armed Forces of Ukraine with implementation of necessary adaptation to the existent terms of application of UKR aviation.

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