Evolution of contact performance of industry electrical connector based on reliability accelerated testing

Ni, Jing; Han, Lidong; Pan, Jianfeng; Zheng, Junqiang; Shi, Yu; Cui, Zhi; Cai, Jun

doi:10.1177/1687814021998829

Cited by 12 publications

(7 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Once the power generation is abnormal, the corresponding positions will be marked [8] . Based on the difference of distance, the outlier detection method is used to measure the distance between a data point and other surrounding data points, and within the set range, combined with clustering technology, the variation value of abnormal clustering clusters is calculated through data points [9] . Specifically as shown in the following Formula 1:…”

Section: Electrical Equipment Anomaly Detection Feature Extractionmentioning

confidence: 99%

Detection method of abnormal operation state of electrical equipment based on PLC technology

Gao

2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

View full text Add to dashboard Cite

At present, the detection nodes of abnormal operation state of electrical equipment are mostly set as independent structures, and the detection range of operation state is small, which leads to the increase of false detection times. Therefore, the design and verification analysis of abnormal operation state detection method of electrical equipment based on PLC technology are proposed. According to the current test requirements and the changes of standards, firstly, the characteristics of abnormal detection of electrical equipment are extracted, and the actual operating state detection range is expanded by multi-objective method, and multi-objective dynamic detection nodes are deployed. Based on this, the abnormal operating state detection model of PLC electrical equipment is constructed, and the abnormal detection of equipment is realized by two-stage cross-correction. The final test results show that the final number of false detections can reach more than 20 times for the selected eight electrical equipments, which shows that with the help of PLC technology, the designed method for detecting abnormal operation state of electrical equipment is more efficient and stable, and has practical application value.

show abstract

Section: Electrical Equipment Anomaly Detection Feature Extractionmentioning

confidence: 99%

Detection method of abnormal operation state of electrical equipment based on PLC technology

Gao

2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

View full text Add to dashboard Cite

show abstract

“…Then, a 3D FE model of the pin insertion process is developed by using ABAQUS software and its boundary conditions and mesh details are presented in Figure 2(B). Specifically, as the most commonly used electrical contact materials, brass and tin bronze are selected as the materials of pin and jack due to their good thermal conductivity, great electrical conductivity, as well as excellent corrosion and wear resistance 13,36,38 . The stress–strain curves of the above materials refer to literatures 39,40 .…”

Section: Fe Modelingmentioning

confidence: 99%

“…Song et al and Remouit et al investigated the mechanical performance of underwater electrical connectors at different pressures and found that their insertion and extraction forces enlarge with the increase of pressure 11,12 . Ni et al investigated the effect of temperature on insertion and exaction forces in an industry electrical connector, and found that their maximum values increase as increasing temperature 13 . Feng et al studied the influence of vibration on contact forces, and the results indicated that the vibration frequency has little effect on insertion force 14 .…”

Section: Introductionmentioning

confidence: 99%

“…11,12 Ni et al investigated the effect of temperature on insertion and exaction forces in an industry electrical connector, and found that their maximum values increase as increasing temperature. 13 Feng et al studied the influence of vibration on contact forces, and the results indicated that the vibration frequency has little effect on insertion force. 14 Yuan et al simulated the distribution of strain in a backplane connector, and found that the maximum strain appears at the bend of the female terminal.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Numerical analysis on mechanical and fatigue behaviors of aviation electrical connector considering structural effect

Luo,

Wang,

Jiang

et al. 2023

Int J Numerical Modelling

View full text Add to dashboard Cite

This work is motivated by the fact that the reliability of electrical connectors influenced by their mechanical behavior and fatigue life directly affects the working performance of the whole equipment system. In this paper, theoretical analyses of insertion force, maximum stress, and fatigue life in an aviation electrical connector are presented and the corresponding mathematical models are firstly derived. Then, to numerically investigate its mechanical behavior and fatigue life, a simplified 3D FE model is developed by using ABAQUS and FE‐SAFE software and verified by experiments and theoretical analysis. Finally, the distribution and evolution characteristics of contact forces, stress and fatigue life considering the influences of reed thickness and slot width are quantitatively analyzed in details. The results indicate that the insertion force first increases and then stabilizes at the level of 0.16 N as the pin head is fully inserted into the jack, which shows an opposite to the evolution of extraction force. Moreover, the maximum value of stress and the minimum value of fatigue life are all located at the root of the jack reed. Besides, unlike the small effect of slot width, the Fimax and σmax values obviously increase and the Nf value decreases with the increment of reed thickness.

show abstract

“…For example, when the electronic equipment is overworked, the aircraft may break down during the ight, thus a ecting the overall performance of the aircraft or even causing serious consequences. However, in actual ight, avionics faced a more complex environment, such as the excitation of its own engine and the disturbance of external pressure, which have a great in uence on its reliability [4,5].…”

Section: Introductionmentioning

confidence: 99%

Medium and Long-Term Fault Prediction of Avionics Based on Echo State Network

Gao

Dai

2022

Mobile Information Systems

View full text Add to dashboard Cite

As one of the core equipment of aircraft, avionics provide a power source for flight. Avionics are complex and highly susceptible to environmental factors. Failure in the long flight process is also relatively large, affecting the stability and safety of aircraft operation. Therefore, it is of great significance to predict the typical faults of avionics. At present, a lot of research achievements have been made on the fault diagnosis of avionics, but the failure prediction of avionics is rarely involved, especially the middle and long-term fault prediction. Hence, this paper proposes a fault prediction method for avionics based on an echo state network. In particular, one-dimensional wavelet denoising filtering and z-score standardized preprocessing are carried out to obtain pure useable data first. Then, the set training data are input into the ESN model. When the model is well trained, the test data can be used to test the model. Finally, the experimental results demonstrate that the proposed ESN model can effectively improve the medium and long-term prediction accuracies of the faults in avionics equipment. Besides, the proposed model can not only identify the types of faults but also predict the specific time when the faults occur. It guarantees the safe and stable operation of the equipment and supports the stable development of the air transport industry, which has great theoretical and practical application value.

show abstract

Evolution of contact performance of industry electrical connector based on reliability accelerated testing

Cited by 12 publications

References 30 publications

Detection method of abnormal operation state of electrical equipment based on PLC technology

Detection method of abnormal operation state of electrical equipment based on PLC technology

Numerical analysis on mechanical and fatigue behaviors of aviation electrical connector considering structural effect

Medium and Long-Term Fault Prediction of Avionics Based on Echo State Network

Contact Info

Product

Resources

About