scholarly journals SELECTION OF REPAIR OPTIONS FOR FAULTY REPLACEABLE COMPONENTS AND AGGREGATES INCORPORATED IN AD WME FROM THE PERSPECTIVE OF MILITARY ECONOMIC AND TECHNICAL FEASIBILITY

2018 ◽  
pp. 49-53
Author(s):  
V. L. Krivolapov ◽  
A. F. Strakhov ◽  
M. V. Komarov

A main number of AD WME failures is caused by replaceable components (RCs) failures of radio-electronic equipment (REE). However, a significant part of the RCs is repairable, i.e. their operability can be restored by means of repair. The repaired RCs and aggregates from the AD WME component parts can be further returned to form a part of spare tools and accessories and used as intended to repair the AD WME component parts by an aggregate method. Until recently, a main option of faulty RCs and aggregates repair arrangement has been their delivery to industrial enterprises for repair. It resulted in delivery delays of the repaired RCs and aggregates incorporated in the AD WME pieces, a necessity to increase a number of the RCs in spare tools and accessories kits, as well as in value appreciation of the AD WME operation. Owing to creation of unified mobile organizational repair systems in JSC Principle Production and Technical Company Granit, now there is an opportunity of current repair of the faulty RCs and aggregates delivered for these purposes to deployment sites of the maintainable AD WME within the unified mobile organizational repair systems. The article considers the issues related to military technical and economic feasibility of implementing the options of RCs and aggregates repair organization: in the field environment (applying the unified and mobile organizational repair systems), at fixed-site maintenance organizations, and at manufacturing facilities.

2022 ◽  
Vol 14 (4) ◽  
pp. 43-51
Author(s):  
V. Zolnikov ◽  
A. Yagodkin ◽  
V. Antsiferova ◽  
Svetlana Evdokimova ◽  
Tatyana Skvortsova ◽  
...  

The work is devoted to the study of the sensitivity of the electronic component base (ECB) to the effects of heavy charged particles. At the same time, the degree of sensitivity is distinguished depending on the functional group of ECB products to the effects of ionization radiation from outer space and on the design and technological design of ECB products. The paper presents the characteristics and conditions for the use of ECB in the radio-electronic equipment of outer space to ensure minimal sensitivity to the effects of ionization radiation and to the thyristor effect. After the sensitivity analysis of ECB products is carried out, a preliminary selection of ECB is performed, requiring testing. The article discusses the criteria for determining the ECB that requires testing and is possible to use without testing. The methods of increasing the durability of radio-electronic equipment of space equipment and the directions of optimization of the methodology of analysis of ECB lists are determined.


2007 ◽  
Vol 38 (3) ◽  
pp. 245-258 ◽  
Author(s):  
Leonid L. Vasiliev ◽  
Andrei G. Kulakov ◽  
L. L. Vasiliev, Jr ◽  
Mikhail I. Rabetskii ◽  
A. A. Antukh

2020 ◽  
pp. 51-56

Information about ASONIKA-UM are adduced: a subsystem for controlling the modeling of radio-electronic equipment, assigned to collect engineering data in an integrated database that occurs during the design, manufacture and operation of electronic equipment, as well as to ensure the joint usage of these data. Keywords radio-electronic equipment; modeling; database; PDM system


2018 ◽  
pp. 66-68
Author(s):  
V. B. Tikhonov

Modern radio-electronic systems (RES) of weapons and military equipment (WME) are more functionally and structurally sophisticated that results in high requirements for their effective operation organisation. Insufficient level of technical knowledge among RES WME operational and maintenance personnel often results in increase of operability restoration period of these items in case of failures. This, in its turn, results in decrease of the readiness level of the RES WME pieces. In order to reduce duration of the RES WME restoring repair in case of failures, methods and tools of the auto-mated informational support of the operational and maintenance personnel activities related to the WME operation and restoring repair are developed. This article is devoted to development of a model of the automated informational support of the personnel activities in order to find rational options of the RES WME maintenance and repair organisation. The study results related to feasibility evaluation and development of the automated technical operation system model for the radio-electronic equipment incorporated in the AD WME are provided.


2021 ◽  
Vol 11 (6) ◽  
pp. 2808
Author(s):  
Leandro H. de S. Silva ◽  
Agostinho A. F. Júnior ◽  
George O. A. Azevedo ◽  
Sergio C. Oliveira ◽  
Bruno J. T. Fernandes

The technological growth of the last decades has brought many improvements in daily life, but also concerns on how to deal with electronic waste. Electrical and electronic equipment waste is the fastest-growing rate in the industrialized world. One of the elements of electronic equipment is the printed circuit board (PCB) and almost every electronic equipment has a PCB inside it. While waste PCB (WPCB) recycling may result in the recovery of potentially precious materials and the reuse of some components, it is a challenging task because its composition diversity requires a cautious pre-processing stage to achieve optimal recycling outcomes. Our research focused on proposing a method to evaluate the economic feasibility of recycling integrated circuits (ICs) from WPCB. The proposed method can help decide whether to dismantle a separate WPCB before the physical or mechanical recycling process and consists of estimating the IC area from a WPCB, calculating the IC’s weight using surface density, and estimating how much metal can be recovered by recycling those ICs. To estimate the IC area in a WPCB, we used a state-of-the-art object detection deep learning model (YOLO) and the PCB DSLR image dataset to detect the WPCB’s ICs. Regarding IC detection, the best result was obtained with the partitioned analysis of each image through a sliding window, thus creating new images of smaller dimensions, reaching 86.77% mAP. As a final result, we estimate that the Deep PCB Dataset has a total of 1079.18 g of ICs, from which it would be possible to recover at least 909.94 g of metals and silicon elements from all WPCBs’ ICs. Since there is a high variability in the compositions of WPCBs, it is possible to calculate the gross income for each WPCB and use it as a decision criterion for the type of pre-processing.


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