Reciprocating compressors are widely used in petroleum industry. A small fault in reciprocating compressor may cause serious issues in operation. Traditional regular maintenance and fault diagnosis solutions cannot efficiently detect potential faults…
Seismic data is one of earliest data acquired in a prospect evaluation and the data are utilized throughout the exploration and production stages of a prospect. With recent advances in the handling of big data, it is essential to re-evaluate the best…
Reciprocating compressors are widely used in petroleum industry. A small fault in reciprocating compressor may cause serious issues in operation. Traditional regular maintenance and fault diagnosis solutions cannot efficiently detect potential faults…
Seismic data is one of earliest data acquired in a prospect evaluation and the data are utilized throughout the exploration and production stages of a prospect. With recent advances in the handling of big data, it is essential to re-evaluate the best…
FCC as the core equipment for gasoline and diesel oil production, is an important source of refinery economic efficiency, but long period operation of catalytic cracking unit is constrained by coking and loss of catalyst. In order to further enhance…
Reciprocating compressors are widely used in petroleum industry. A small fault in reciprocating compressor may cause serious issues in operation. Traditional regular maintenance and fault diagnosis solutions cannot efficiently detect potential faults…
Recently, the big data technology has been applied in many field widely, such as finance, trade and medical healthy. But the applications in process industries are only in the beginning stages. In this paper, the characteristics, analyzing methods…
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…
FCC as the core equipment for gasoline and diesel oil production, is an important source of refinery economic efficiency, but long period operation of catalytic cracking unit is constrained by coking and loss of catalyst. In order to further enhance…
Seismic data is one of earliest data acquired in a prospect evaluation and the data are utilized throughout the exploration and production stages of a prospect. With recent advances in the handling of big data, it is essential to re-evaluate the best…
Images of the pipeline can be easily captured by the infrared thermal camera. However, factors such as uneven lighting or the complex and diverse outdoor environment can affect the pipeline infrared image. Under these circumstances, detection of the…
Leak detection of oil pipelines is an important issue for safe operation of pipelines, reducing oil loss and environmental pollution. A new approach based on principal component analysis (PCA) method to detect leaks of oil pipelines is proposed in…
Leak detection in oil pipelines is important for safe operation of pipelines. Negative Pressure Wave (NPW) in pressure curve can be an indication of leakage of a pipeline. In this paper, we propose to use the support vector machine (SVM) learning to…
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…
For early detection and localization of small leaks in transmission pipelines a standard method based on nonlinear model and estate estimation is presented. The effect of leaking is included in a pipeline model and the relationships that extract…
The paper describes two methods for detecting and locating leaks in long pipelines. The methods are based on an extended Kalman filter designed by lumping the non-linear Distributed Parameter (DP) system representing the pipeline system using the…
The paper describes two methods for detecting and locating leaks in long pipelines. The methods are based on an extended Kalman filter designed by lumping the non-linear Distributed Parameter (DP) system representing the pipeline system using the…
Detection and diagnosis of faults at the early stage, as well as inconsistency monitoring and control are of extreme importance for operating Li-ion batteries (LIBs) safely and reliably, handling performance degradation and cell unbalancing, and…
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…
In this article, a bi-directional long-short term memory (BiLSTM) network algorithm combined with a support vector machine (SVM), SVM-BiLSTM, is proposed to detect faults in the Gas Station Internet of Things (GS-IoT) system. The operational process…
In the settlement safety assessment of liquefied natural gas (LNG) tank, there are some problems, such as lack of high-value samples and uncertainty of parameters. Compared with the traditional settlement assessment method, the belief rule base (BRB)…
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…