Operation reliability analysis based on fuzzy support vector machine for aircraft engines

Gao, Jun; Wang, Huawei

doi:10.17531/ein.2015.2.3

Search citation statements

Order By: Relevance

Paper Sections

Select...

A Case Study1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2016

2019

Publication Types

Select...

Article1

Other1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Riaz et al), for the monitoring of aircraft engines (cf. Gao and Wang), in liquid transmission pipelines for the monitoring of pressure (cf. Ostapkowicz and Bratek) and many other real applications.…”

Section: A Case Studymentioning

confidence: 99%

On improved monitoring of linear profiles under modified successive sampling

Riaz

Mahmood

2019

Quality & Reliability Eng

View full text Add to dashboard Cite

Control charts are often used for the monitoring of quality characteristics of interest. There may exist some other characteristics that are associated with the main quality characteristic. A model that quantifies the relationship between them is termed as a profile, for instance, the relation between charge and capacitance. The monitoring of the main variable that is linearly related with an associated explanatory variable is termed as simple linear profiles' monitoring. It is a common practice to use simple random sampling (SRS) for profile monitoring. This study intends to enhance profile monitoring by considering modified successive sampling (MSS) approach. The performance of the existing and the proposed schemes are evaluated using the well‐known metrics average run length. The comparative analysis revealed that the proposed structure outperforms the existing ones in terms of efficiency. A real application from electrical engineering is used to show the implementation of our proposal in practice.

show abstract

Section: A Case Studymentioning

confidence: 99%