Search Results for “Wald” – Collected book of scientific-technical articles

9.2.2025 Product quality analysis using methods of statistical study of repair results

manager — Tue, 27 Jan 2026 09:03:20 +0000

9. Product quality analysis using methods of statistical study of repair results

Date of receipt of the article for publication: 24.11.2025

Date of acceptance of the article for publication after review: 08.12.2025

Date of publication: 27.01.2026

ISSN: 2617-5525

e-ISSN: 2617-5533

Authors:

Demchenko A. V., Kryvobokov L. V., Us Yu. M.

ORCID authors:

Us Yu. M. ORCID

Organization:

Yangel Yuzhnoye State Design Office

Page: Kosm. teh. Raket. vooruž. 2025 (2); 79-84

DOI: https://doi.org/10.33136/stma2025.02.079

Language: Ukrainian

Annotation: The quality analysis of products is a crucial component of production management and reliability enhancement for manufactured or repaired items. Today, the growing complexity of technological processes and the expanding range of products necessitate eff ective quality control methods that ensure reliable assessment with minimal time and resource expenditure. One of the most eff ective tools for achieving this is statistical quality control. It enables informed decisions about product quality based on sample inspection results. This paper examines two approaches for evaluating the quality of repaired products: the single sampling method and the sequential analysis method. The single sampling method helps determine whether the entire batch meets the specifi ed quality criteria using a representative sample. This method involves calculating the optimal sample size and the acceptable number of defective items, taking into account the admissible risk levels for both the supplier and the customer. The principal advantage of this method lies in the simplicity of calculations and the ability to predict the probability of batch acceptance or rejection. The sequential analysis method developed by Wald off ers a more fl exible approach for large batches of products. It allows devising a control plan in the form of a graph divided into three regions: acceptance, rejection, and an intermediate zone where additional testing is required. This method reduces the number of necessary tests, saves resources, and ensures quality assessment with specifi ed reliability and risk levels. To accurately classify batches in the intermediate region, the truncation method is applied, allowing a fi nal decision on batch quality based on additional data. This paper presents calculation examples based on real repair data, demonstrating the practical eff ectiveness of both methods. The results show that statistical quality control enhances the reliability of decisions made, optimizes the product inspection process, and ensures a high level of product reliability under given economic and technical conditions. The fi ndings are practical for quality control and reliability assurance engineers, as well as for managers at production facilities, seeking to introduce statistical control into product repair and modernization processes.

Key words: quality control, sampling, sequential analysis, Wald, reliability

Bibliography:

1. Montgomery D. C. Introduction to Statistical Quality Control. 8th ed. Wiley, 2020. 754 p.
2. Chervonyi A. A. ta in. Nadiinist skladnykh system. Mashynobudivnytstvo, 1976.
3. Wald A. Sequential Analysis. Dover Publications, 2004. 212 p. (Reprint of 1947 edition).
4. Wetherill G. B., Brown D.W. Statistical Process Control: Theory and Practice. Chapman and Hall, 2017. 296 p.
5. Stephens K. S. The Handbook of Applied Acceptance Sampling: Plans, Procedures and Principles. ASQ Quality Press, 2021. 388 p.
6. Venttsel O. S. Teoriia ymovirnostei. Nauka, 1964. 572 s.
7. ISO 2859-1:2020. Sampling procedures for inspection by attributes. Part 1: Sampling schemes indexed by acceptance quality limit (AQL) for lotby-lot inspection. Geneva: ISO, 2020.

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10.1.2024 METHOD OF AUTONOMOUS DETERMINATION OF THE ROCKET’S REFERENCE ATTITUDE DURING PRE-LAUNCH PROCESSING

manager — Mon, 17 Jun 2024 08:44:04 +0000

10. Method of autonomous determination of the rocket’s reference attitude during pre-launch processing

ISSN: 2617-5525

e-ISSN: 2617-5533

Authors:

Borscheva O. V., Khorolskiy P. G.

Organization:

Yangel Yuzhnoye State Design Office, Dnipro, Ukraine

Page: Kosm. teh. Raket. vooruž. 2024, (1); 85-92

DOI: https://doi.org/10.33136/stma2024.01.085

Language: Ukrainian

Annotation: To solve the navigation tasks (determination of the apparent accelerations and angular velocities and calculation of rocket orientation angles) in the rocket engineering, the data from the sensing elements (angular velocity sensors and accelerometers) is used. Accuracy of reference attitude determination of the rocket in the steady mode (at lift-off) has great influence on accuracy of the received navigation data during the flight. Gimballess inertial navigation system, built on the basis of inertial MEMS-sensors of Industry class (three angular velocity sensors and three accelerometers), is taken as the navigation device. In the classical version, the integration of data from angular velocity sensors and from accelerometers is the basis of gimballess inertial navigation system operation. It results in accumulation of errors when solving the navigation task (in particular due to the integration of data from angular velocity sensors). Taking it into consideration, the alternative method of rocket’s reference attitude determination during the pre-launch processing is offered. This method does not use mathematical operations of integration and is autonomous. Initial data, received from the gimballess inertial navigation system, is used as the output data. This data is used to determine the rocket’s reference attitude (orientation of object-centered coordinates in the geographical reference system) in the steady mode. Orientation angles are determined without the integration of data picked up from the angular velocity sensors. The comparative analysis to define the processing efficiency of the navigation device initial data was held during the determination of the rocket’s orientation angles in the steady mode, using the proposed method and Runge-Kutta method. The received results showed that accuracy of the reference attitude determination with the proposed method is higher. Thus, the proposed method will help reduce the errors in determination of the rocket’s reference attitude in the steady mode that in the future will improve the accuracy in determination of navigational parameters during the rocket’s flight.

Key words: navigation system, mems-sensors, accelerometers, angular velocity sensors, reference attitude

Bibliography:

Meleshko V.V., Nesterenko O.I. Besplatformennye inertsialnye navigatsionnye systemy. Ucheb. posobie. Kirovograd: POLIMED – Service, 2011. 164 s.
Vlasik S.N., Gerasimov S.V., Zhuravlyov A.A. Matematicheskaya model besplatformennoy inertsialnoy navigatsionnoy systemy i apparatury potrebitelya sputnikovoi navigatsionnoy systemy aeroballisticheskogo apparata. Nauka i technika Povitryannykh Sil Zbroinykh Sil Ukrainy. 2013. № 2(11). s. 166-169.
Waldenmayer G.G. Protsedura pochatkovoi vystavki besplatformennoy inertsialnoy navigatsionoy systemy z vykorystannyam magnitometra ta rozshirennogo filtra Kalmana. Aeronavigatsini systemy. 2012. s. 8.
Korolyov V.M., Luchuk Ye.V., Zaets Ya.G., Korolyova O.I., Miroshnichenko Yu.V. Analiz svitovykh tendentsiy rozvytku system navigatsii dlya sukhoputnykh viysk. Rozroblennya ta modernizatsia OVT. 2011. №1(4). s.19-29. https://doi.org/10.33577/2312-4458.4.2011.19-29
Avrutov V.V., Ryzhkov L.M. Pro alternativniy metod avtonomnogo vyznachennya shyroty i dovgoty rukhomykh obiektiv. Mekhanika gyroskopichnykh system. 2021. №41. s. 122-131. https://doi.org/10.20535/0203-3771412021269255
Bugayov D.V., Avrutov V.V., Nesterenko O.I. Experimentalne porivnyannya algoritmiv vyznachennya orientatsii na bazi complimentarnogo filtru ta filtru Madjvika. Avtomatizatsiya technologichnykh i biznes-protsesiv. 2020. T. 12, №3. s. 10-19.
Chernyak M.G., Kolesnik V.O. Zmenshennya chasovykh pokhibok inertsialnogo vymiryuvalnogo modulya shlyakhom realizatsii yogo strukturnoi nadlyshkovosti na bazi tryvisnykh micromekhanichnykh vymiruvachiv. Mekhanika giroskopichnykh system. 2020. №39. s. 66-80. https://doi.org/10.20535/0203-3771392020229096
Rudik A.V. Matematichna model pokhibok accelerometriv bezplatformenoi inertsialnoi navigatsinoi systemy. Visnyk Vynnitskogo politechnychnogo institutu. 2017. №2. s. 7-13.
Naiko D.A., Shevchuk O.F. Teoriya iomovirnostey ta matematychna statistika: navch. posib. Vinnytsya: VNAU. 2020. 382 s.
Matveev V.V., Raspopov V.Ya. Osnovy postroeniya bezplatformennykh inertsialnykh navigatsionnykh system. SPb.: GNTs RF OAO «Kontsern «TsNII «Electropribor». 2009. 280 s.
Novatorskiy M.A. Algoritmy ta metody obchislen’ [Electronniy resurs]: navch. posib. dlya stud. KPI im. Igorya Sikorskogo. Kiyv: KPI im. Igorya Sikorskogo. 2019. 407 s.

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