Reciprocating compressors are widely used in the petroleum industry, and a small fault in reciprocating compressors may cause serious issues in operation. Monitoring and detecting potential faults help compressors to continue normal operation. This…
Data-driven fault diagnosis for dynamic process faces three challenges. Firstly, models are hard to establish to describe the multivariate coupled correlations. Secondly, in an actual industrial process, the cost of fault data collection is huge, and…
Although modern chemical processes are highly automatic, abnormal situation management (ASM) still heavily relies on human operators. Process fault detection and diagnosis (FDD) are one of the most important issues of ASM but few FDD systems have…
Monitoring oil transporting pipelines is an important task for economical and safe operation, loss prevention, and environmental protection from crude oil emission. The leak detection of oil pipelines, therefore, plays a key role in the overall…
The monitoring of oil pipeline is an important task for economical and safe operation, loss prevention and environmental protection from crude oil emission. A leak detection of oil pipeline, therefore, plays a key role in the overall integrity…
This paper presents an extension of a comparative study of classifier architectures for automatic fault diagnosis, with a special emphasis on the Extreme Learning Machine (ELM), with and without kernel mapping. Besides the explanation of the ELM…
The fault detection and diagnosis is very important for a security of control systems. In this paper, the author presents a fault diagnosis technique of process based on the correlation coefficient in process variables. The process diagnosis function…
Experimental evaluation of the active fault tolerant control scheme developed with state space models (innovations form) identified purely from input-output data is carried out in the present work. A key problem in fault diagnosis with identified…
This brief focuses on presenting a state-based matrix approach to the problem of fault detection for discrete event systems (DESs). Firstly, the given system is modeled as a finite state machine and converted into algebraic structure with the help of…
Most of the time the mechanical equipment is in normal operation state, which results in high imbalance between fault data and normal data. In addition, traditional signal processing methods rely heavily on expert experience, making it difficult for…
Wireless underground sensor networks (WUSNs) can enable many important applications such as intelligent agriculture, pipeline fault diagnosis, mine disaster rescue, concealed border patrol, and crude oil exploration. The key challenge to realize…
The complex structure and changeable working conditions of reciprocating compressor lead to the strong noise interference of collected monitoring data, the poor universality of diagnosis model and so on. A fault diagnosis method of reciprocating…
The monitoring of oil pipeline is an important task for economical and safe operation, loss prevention and environmental protection from crude oil emission. A leak detection of oil pipeline, therefore, plays a key role in the overall integrity…
Monitoring oil transporting pipelines is an important task for economical and safe operation, loss prevention, and environmental protection from crude oil emission. The leak detection of oil pipelines, therefore, plays a key role in the overall…