Investigation on the Running-In Quality at Different Rotating Speeds by Chaos Theory

Ding, Cong; Zhou, Zhenyu; Zhong-yu, Piao

doi:10.1142/s021812742150108x

Cited by 7 publications

(2 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To identify the key basic event, gray relational analysis [16] was introduced to calculate the integrated importance (II) of the basic event. The evolutionary characteristics of hydraulic support failure can be explored by chaos theory [21]. The social and organizational factors of hydraulic support failure were investigated based on the synthetic theory model [25], and the unsafe behaviors of humans were explored by failure mode and effects analysis (FMEA) [34,35].…”

Section: Framework Of This Studymentioning

confidence: 99%

Importance-Based Key Basic Event Identification and Evolution Mechanism Investigation of Hydraulic Support Failure to Protect Employee Health

2021

Sensors

View full text Add to dashboard Cite

Background: Although hydraulic support can help enterprises in their production activities, it can also cause fatal accidents. Methods: This study established a composite risk-assessment method for hydraulic support failure in the mining industry. The key basic event of hydraulic support failure was identified based on fault tree analysis and gray relational analysis, and the evolution mechanism of hydraulic support failure was investigated based on chaos theory, a synthetic theory model, and cause-and-effect-layer-of-protection analysis (LOPA). Results: After the basic events of hydraulic support failure are identified based on fault tree analysis, structure importance (SI), probability importance (PI), critical importance (CI), and Fussell–Vesely importance (FVI) can be calculated. In this study, we proposed the Fussell–Vesely–Xu importance (FVXI) to reflect the comprehensive impact of basic event occurrence and nonoccurrence on the occurrence probability of the top event. Gray relational analysis was introduced to determine the integrated importance (II) of basic events and identify the key basic events. According to chaos theory, hydraulic support failure is the result of cross-coupling and infinite amplification of faults in the employee, object, environment, and management subsystems, and the evolutionary process has an obvious butterfly effect and inherent randomness. With the help of the synthetic theory model, we investigated the social and organizational factors that may lead to hydraulic support failure. The key basic event, jack leakage, was analyzed in depth based on cause-and-effect-LOPA, and corresponding independent protection layers (IPLs) were identified to prevent jack leakage. Implications: The implications of these findings with respect to hydraulic support failure can be regarded as the foundation for accident prevention in practice.

show abstract

Section: Framework Of This Studymentioning

confidence: 99%

Importance-Based Key Basic Event Identification and Evolution Mechanism Investigation of Hydraulic Support Failure to Protect Employee Health

2021

Sensors

View full text Add to dashboard Cite

show abstract

“…In the chaotic method, the nonlinear features of a system are characterized based on the unique performance of the characteristic parameters. The traditional characteristic parameters are the Lyapunov exponent λ and correlation dimension D. The Lyapunov exponent λ is used to analyze the chaotic characteristics of the system, and the correlation dimension D is used to characterize the dynamic changes in the system state with time [21].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Surface Roughness of Aluminum Alloy in Burnishing Process Based on Chaos Theory

Yuan

Zhou

Jiang

et al. 2023

Chin. J. Mech. Eng.

Self Cite

View full text Add to dashboard Cite

Burnishing experiments with different burnishing parameters were performed on a computer numerical control milling machine to characterize the surface roughness of an aluminum alloy during burnishing. The chaos theory was employed to investigate the nonlinear features of the burnishing system. The experimental results show that the power spectrum is broadband and continuous, and the Lyapunov exponent λ is positive, proving that burnishing has chaotic characteristics. The chaotic characteristic parameter, the correlation dimension D, is sensitive to the time behavior of the system and is used to establish the corresponding relationship with the surface roughness. The correlation dimension was the largest, when the surface roughness was the smallest. Furthermore, when the correlation dimension curve decreases, the roughness curve increases. The correlation dimension and surface roughness exhibit opposite variation trends. The higher the correlation dimension, the lower the surface roughness. The surface roughness of the aluminum alloy can be characterized online by calculating the correlation dimension during burnishing.

show abstract

A Binary Chaotic Transient Search Optimization Algorithm for Enhancing Feature Selection

Sharafaddini,

Mansouri

2024

Arab J Sci Eng

View full text Add to dashboard Cite

Investigation on the Running-In Quality at Different Rotating Speeds by Chaos Theory

Cited by 7 publications

References 37 publications

Importance-Based Key Basic Event Identification and Evolution Mechanism Investigation of Hydraulic Support Failure to Protect Employee Health

Importance-Based Key Basic Event Identification and Evolution Mechanism Investigation of Hydraulic Support Failure to Protect Employee Health

Evaluation of Surface Roughness of Aluminum Alloy in Burnishing Process Based on Chaos Theory

A Binary Chaotic Transient Search Optimization Algorithm for Enhancing Feature Selection

Contact Info

Product

Resources

About