scholarly journals Complex ground diagnostic system for spacecraft electromechanical devices

2019 ◽  
Vol 29 (4) ◽  
pp. 54-62 ◽  
Author(s):  
E. B. Korotkov ◽  
N. S. Slobodzyan ◽  
O. V. Shirobokov ◽  
A. A. Kiselev ◽  
M. I. Nadezhin
Keyword(s):  
Spectral Characteristics ◽  
Diagnostic System ◽  
Thermal Control ◽  
Technical Condition ◽  
Diagnostic Methods ◽  
Equivalent Current ◽  
Software Interface ◽  
Vector Module ◽  
Electromechanical Devices ◽  
And Function

One of the ways to make spacecraft electromechanical devices much reliable is the diagnostics of their technical condition during ground tests and identification of possible defects. Authors have viewed questions of spacecraft electromechanical devices’ diagnostics. There is an overview of the state-of-the-art applied diagnostic methods with the proposed complex diagnostic method, including, apart from vibration-based diagnostics, methods of the analysis of the vector module and vector hodograph of the electric engine’s equivalent current. Authors presented spectral characteristics of vibration acceleration signals and equivalent current, as well as hodographs. They also identified generic criteria for current diagnostics. The narration includes the description and function circuit of the ground complex diagnostic system for the engine of the electric pump unit (EPU) at the spacecraft thermal control system. It also includes the software interface for the system.

scholarly journals Assessment of Technical Condition and Readiness of Pump Units by Diagnostic Methods

2021 ◽  
Vol 320 ◽  
pp. 04010
Author(s):  
M. M. Muhammadiev ◽  
O. Y. Glovatsky ◽  
R. R. Ergashev ◽  
N. R. Nasyrova ◽  
F. S. Saidov
Keyword(s):  
Working Conditions ◽  
Diagnostic System ◽  
Technical Condition ◽  
Diagnostic Methods ◽  
Operating Costs ◽  
Power Equipment ◽  
Time Intervals ◽  
Pumping Stations ◽  
Pumping Units ◽  
The Cost

The article presents the developed methods and models for analyzing the dynamic indicators of pumping units for different time intervals of their state during operation. The main tasks of assessing the technical condition are to identify deviations from design solutions, the presence of damage, defects in pump structures that can cause accidents. The results of the development of a diagnostic system for pumping units at pumping stations are presented. The working conditions of the connecting links of the main pumping and power equipment and its diagnostics are considered. The introduction of the proposed diagnostic system will lead to a reduction in operating costs of pumping units and the cost of their maintenance.

scholarly journals Analysis of Diagnostic Methods and Energy of Production Systems Drives

Processes ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 843
Author(s):  
Ivan Kuric ◽  
Ivana Klačková ◽  
Yury Rafailovich Nikitin ◽  
Ivan Zajačko ◽  
Miroslav Císar ◽  
...  
Keyword(s):  
Fuzzy Inference ◽  
Diagnostic System ◽  
Sensory Systems ◽  
Technical Condition ◽  
Repair Time ◽  
Diagnostic Methods ◽  
Technical Diagnostics ◽  
Inference System ◽  
Diagnostic Parameters ◽  
Industrial Enterprises

This article deals with solving the urgent scientific problem of the diagnostics of drives of technological robotized workplaces with support of sensors. The dependence of diagnostic parameters on the technical state of drives of automated technological systems, which is of great economic importance for industrial enterprises, is being investigated. Diagnostic models have been developed based on sensory systems to diagnose drive models of technological robotized workplaces. The use of these models may also include monitoring systems in which it is possible to build a system for identifying detected changes. These systems identify many contradictory changes and thereby reduce the false alarm frequency of monitoring sensory systems. Numerous methods for solving technical diagnostics problems are often based on methods based on mathematical models describing work processes, as well as on spectral analysis of measured parameters, such as vibrations, noise, and electric current. A fuzzy inference system for assessing the technical condition, a system for estimating the residual resource of drives, and asystem for calculating diagnostic intervals based on fuzzy knowledge have been developed. Based on the historical trend of the diagnostic parameters, the intelligent diagnostic system determines the current technical condition of the actuator and predicts future technical condition changes, determines the remaining service life and the time intervals for diagnostics. The analysis of the time spent on planned preventive maintenance of technological equipment makes it possible to conclude that, after the modernization of equipment in 2018, the repair time was reduced from 350 h to 260 h per year (26%). Since 2019, there is a tendency to increase repair time by 30 h each year.

ACCURACY RATING MEASUREMENT OF VIBRATION ELECTROMECHANICAL DEVICES

2019 ◽  
Vol 1 (7) ◽  
pp. 42-45
Author(s):  
V. A. Golubkov ◽  
V. F. Shishlakov ◽  
A. G. Fedorenko ◽  
E. Yu. Vataeva
Keyword(s):  
Technical Condition ◽  
Rotor System ◽  
Vibration Measurement ◽  
Random Errors ◽  
Mass Ratio ◽  
Signal Flow Graph ◽  
Bond Graphs ◽  
Rotor Systems ◽  
Electromechanical Devices ◽  
Main Components

Electromechanical devices consist mainly of rotor systems. Vibration is the result of the interaction of the elements of the rotor system and is largely determined by the accuracy of manufacturing elements at the production stage and defects arising in the process of operation. The main components of the rotor systems that affect vibration are bearings. To determine the technical condition of the bearings and the service life of the rotor system, it is necessary to accurately measure the unobservable vibrations of the rotor. The article describes the model of the channel for measuring the vibration of an electromechanical system, built using the apparatus of bond graphs. The transfer function is obtained by analyzing the signal flow graph. The systematic and random errors of vibration measurement are analyzed depending on the mass ratio between the system case and the vibration transducer for various sensor masses and attachment rigidity.

Development of hydraulic cylinder diagnostic methods by modeling methods

2021 ◽  
pp. 41-45
Author(s):  
Keyword(s):  
Hydraulic Drive ◽  
Hydraulic Cylinder ◽  
Technical Condition ◽  
Diagnostic Methods ◽  
Technical Diagnostics ◽  
Remaining Service Life ◽  
Construction Machine ◽  
Piston Speed ◽  
Variable Nature ◽  
Hydraulic Cylinders

The hydraulic drive of a construction machine is a complex dynamic system that is subjected to many dynamic loads of a variable nature and operates under conditions of variable external influences caused by various factors. During operation, these loads cause failure of the hydraulic transmission elements. To prevent these malfunctions, technical diagnostics should be applied by determining their current technical condition and remaining service life. The article assesses the working condition of hydraulic cylinders using a mathematical model. Using matlab/simulink software to simulate the hydraulic cylinder and hydraulic piston speed when changing the hydraulic cylinder clearance. The simulation results are presented. Keywords: diagnostic, hydraulic cylinder, simulation, development

Research and Development of Vehicle Fault Diagnostic System Based on MDI

2014 ◽  
Vol 556-562 ◽  
pp. 3060-3064
Author(s):  
Jie Hu ◽  
Hao Li ◽  
Xian Jun Hou ◽  
Xiong Zhen Qin
Keyword(s):  
Diagnostic System ◽  
Hierarchical Architecture ◽  
Electronic Control ◽  
Electronic Control System ◽  
Fault Diagnostic ◽  
And Function ◽  
Read Rate ◽  
Vehicle Testing ◽  
Design Ideas ◽  
Standardized Diagnostic

For the deficiencies of traditional PC-style vehicle fault diagnostic system, this paper proposes a kind of standardized PC-style vehicle fault diagnostic system which based on the standardized diagnostic interface device, selects MDI which conformed to SAE J2534 standard, studies the communication mechanism of MDI and SAE J2534 standard, optimizes the data read rate, develops the diagnostic system software using the design ideas of hierarchical architecture and function modularization. Through vehicle testing and analysis, this system allows the fault diagnosis, maintenance help, real-time monitoring and online refresh for vehicle electronic control system, has a good versatility and scalability, has a reference for developing standardized diagnostic device and provides the favorable tools for vehicle diagnosis and maintenance.

Multi-Modal Diagnostics for Vehicle Fault Detection

2001 ◽  
Author(s):  
Matthew L. Schwall ◽  
J. Christian Gerdes
Keyword(s):  
Bayesian Network ◽  
Low Cost ◽  
Diagnostic System ◽  
Cost Models ◽  
Diagnostic Systems ◽  
Computationally Efficient ◽  
Analytical Redundancy ◽  
Hardware Costs ◽  
And Function ◽  
Viable Model

Abstract On-board vehicle diagnostic systems must have low development and hardware costs in order to be viable. Model-based methods have shown promise since they use analytical redundancy to reduce costly physical redundancy. However, these methods must also be computationally efficient and function accurately even with simple, low-cost models. The approach presented in this paper uses multiple simple models to analyze dissimilar observable modes of a system. Residuals generated using the models are related and interpreted in a Bayesian network to determine fault probabilities and yield a diagnosis. The technique is demonstrated with a diagnostic system for automobile handling.

scholarly journals A Novel Fault Diagnosis System on Polymer Insulation of Power Transformers Based on 3-stage GA–SA–SVM OFC Selection and ABC–SVM Classifier

Polymers ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1096 ◽  
Author(s):  
Xiaoge Huang ◽  
Yiyi Zhang ◽  
Jiefeng Liu ◽  
Hanbo Zheng ◽  
Ke Wang
Keyword(s):  
Artificial Intelligence ◽  
Fault Diagnosis ◽  
Diagnostic Accuracy ◽  
Diagnostic System ◽  
Gas Analysis ◽  
Diagnostic Methods ◽  
Power Transformers ◽  
Svm Classifier ◽  
Diagnosis System ◽  
Optimal Feature

Dissolved gas analysis (DGA) has been widely used in various scenarios of power transformers’ online monitoring and diagnoses. However, the diagnostic accuracy of traditional DGA methods still leaves much room for improvement. In this context, numerous new DGA diagnostic models that combine artificial intelligence with traditional methods have emerged. In this paper, a new DGA artificial intelligent diagnostic system is proposed. There are two modules that make up the diagnosis system. The two modules are the optimal feature combination (OFC) selection module based on 3-stage GA–SA–SVM and the ABC–SVM fault diagnosis module. The diagnosis system has been completely realized and embodied in its outstanding performances in diagnostic accuracy, reliability, and efficiency. Comparing the result with other artificial intelligence diagnostic methods, the new diagnostic system proposed in this paper performed superiorly.

scholarly journals Diagnostics of the technical condition of transformers according to the color characteristics of transformer oil

2019 ◽  
Vol 124 ◽  
pp. 05001
Author(s):  
D.M. Valiullina ◽  
Yu.K. Ilyasova ◽  
V.K. Kozlov
Keyword(s):  
Aromatic Compounds ◽  
Optical Radiation ◽  
Colloidal Particles ◽  
Early Stage ◽  
Diagnostic System ◽  
Technical Condition ◽  
Acid Number ◽  
Transformer Oil ◽  
Stage Of Development ◽  
Initial Stage

This paper presents the results of a research of transformer oil in a visual way. The high information content of the optical radiation scattered and transmitted through the oil is shown. By the color of the radiation, it is possible to determine such characteristics of the oil as acid number, dielectric loss tangent, the presence of colloidal particles, their concentration and size, as well as the presence of aromatic compounds in the oil, changes in their molecular composition and concentration. By the presence of aromatic compounds and colloidal particles, it is possible to visually state the development of thermal and discharge defects in a transformer. This diagnostic system allows to assess the condition of power transformers without shutting them down, make decisions on their further operation without the use of expensive equipment and at the initial stage to identify the changes that are significant and necessary. This is due to the high cost of the transformer, its importance in terms of the reliability of power supply to consumers, the complexity of determining damages and defects at an early stage of development.

The results of a study of the concordance of RAS status in liquid and invasive biopsies in patients with metastatic colorectal cancer in the Republic of Kazakhstan.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e16017-e16017
Author(s):  
Kaldigul Smagulova ◽  
Dilyara Kaidarova ◽  
Yelena Ukolova ◽  
Madina Orazgalieva ◽  
Anel Kurmankulova
Keyword(s):  
Colorectal Cancer ◽  
Liquid Biopsy ◽  
Point Mutations ◽  
Diagnostic System ◽  
Circulating Tumor Dna ◽  
Diagnostic Methods ◽  
Molecular Diagnostic ◽  
Wild Type ◽  
Kras Gene ◽  
Tumor Biopsy

e16017 Background: Liquid biopsy is increasingly of interest as an alternative to invasive biopsy of solid tumors for predicting, making decisions about the treatment and monitoring of the disease. Particular preference is given to liquid biopsy in cases where it is not possible to obtain a sufficient amount of material or material of poor quality with a tumor biopsy. However, in order to find out the clinical significance of circulating tumor DNA (ctDNA), it is important to first establish the sensitivity of the method using tumor-plasma consistency studies. Methods: We selected 38 patients with a confirmed diagnosis of colorectal cancer (CRC), in whom was established the progression of the disease. All patients underwent two diagnostic methods, which we divided conditionally into 2 groups: A – invasive biopsy from available metastatic foci; to detect mutations in exons 2, 3, and 4 the KRAS gene used a reagent kit to detect 18 point mutations in codons 12,13,61,117,146 and a reagent kit to identify 10 mutations of the NRAS gene in codons 12,13,61,146 (Entrogen) on a Rotor-Gene 6000 Amplifier; B - liquid biopsy, to determine 21 mutations in the codons 12,13,59,61,117,146 of the KRAS gene, 18 mutations in the codons of 12,13,59,61,117,146 of the NRAS gene, was used Idylla automated molecular diagnostic system. Results: Of the 38 studied samples of group A: 22 (57.9%) had wild type KRAS, 16 (42.1%) were mutated, in group B: wild type had 25 (65.8%) patients, mutated - 13 (34, 2%). Thus, we see a discrepancy in the results in 3 (7.9%) of 38 cases. Conclusions: The results indicate a high degree of sensitivity (92.1%) of liquid biopsy as a diagnostic method, but confirmation of concordance with traditional tissue biopsy requires further in-depth study of this issue in a larger sample of patients.

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