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Reciprocating compressors are widely used in oil and gas industry for gas transport, lift and injection. Critical reciprocating compressors that operate under high-speed conditions, flow hazardous gases and have a high duty cycle are target rotating equipment on maintenance improvement lists due to downtime risks and safety hazards. Estimating performance deterioration and failure time for reciprocating...
A wireless sensor network (WSN) can provide a low cost and flexible solution to sensing and monitoring for large distributed applications. To save energy and prolong the network lifetime, the WSN is often partitioned into a set of spatial clusters. Each cluster includes sensor nodes with similar sensing data, and only a few sensor nodes (samplers) report their sensing data to a base node. Then the...
In job-centric monitoring, monitors gather series of measurements, e.g., the used CPU load, per job. In domains where jobs are expected to behave similar, job-centric monitoring allows detecting misbehaving jobs based on a reference series of measurements. However, current detection approaches neglect time-drifts in series, e.g., caused by different CPU speeds and therefore potentially cause false...
Traditional process monitoring methods take all the measured variables into account, whereas it will be inappropriate for indicating quality-relevant faults. Some measured variables are independent from the quality variables and these redundancy variables will no doubt degrade the prediction performance of quality variables. This paper proposes a novel quality relevant and independent two block monitoring...
this paper proposed a method to monitor the quality of Fused Deposition Modeling (FDM) products using Statistical Process Control (SPC) based on profile data. Profile data is extracted from product surface image of each layer. Tanimoto similarity between the current profile data and the ideal one is calculated, then used to monitor the manufacturing process. Simulation study is presented to show the...
The paper investigates the problem of degenerative model of board-level solder joint subjected to harmonic vibration load with the constant frequency fixed amplitude. Based on the experimental monitoring signal, square root amplitude, waveform factor and kurtosis factor can be used as the degradation quantity by analyzing ten amplitude domain statistics' correlation and significance. Square root amplitude...
Different kinds of maintenance events in practical maintenance have different effects on equipment operation and task success. Based on the characteristics of multiple events and uncertainties of maintenance events, this paper analyzes the influence of various maintenance events on maintenance cost decision under different maintenance times, and determines the influencing factors of maintenance cost...
During the last decade, we witnessed a constantly increasing digitalization in the health-care domain that, while from the one hand, has increased the average life expectancy representing one of the crowning achievements of the last years, from the other hand, has introduced extra challenges due to the simultaneous increasing of the proliferation of cyber-crime and the creation of malicious applications...
Event correlation is the task of detecting dependencies between events in event sequences, e.g., for predictive maintenance based on log-files. In this work, a new data-driven, generic framework for event correlation is presented. First, we use a fast preliminary test statistic to determine candidate event type pairs. Next, the precise distribution of the time lag between those pairs is calculated...
Adoption of optical vegetation indices for local, national, and global crop condition monitoring is wide spread. Given that cloud cover impedes acquisition of these data, this research examines whether Synthetic Aperture Radar (SAR), specifically a compact polarimetric (CP) configuration, could augment these operational initiatives. Encouraging statistical correlations are reported between several...
Tailings impoundment failures may lead to catastrophically fatal, environmental and financial consequences. However, field investigation and geotechnical analysis are limited by sparse instrumentation and high cost. Here we use time-series Interferometric Synthetic Aperture Radar (InSAR) method to map out the settlement over the entire tailings impoundment area in the vicinity of Great Salt Lake (Utah)...
In this paper we present the research conducted on synchronous measurements of biosignals. The experiment was conducted to evaluate the possibility of estimating vital signs based on eye tracking. Method: The eGlasses platform was used for acquisition of ECG, respiration rate, eye and pupil movement and blood pressure. Data were acquired in three 5 min. intervals during which a subject was performing...
Given a collection of event-related documents, event ranking generates a list of ranked events based on the input query. Ranking news events, which takes event related news documents for the generation of ranked events, is both an essential research issue and important component for many security oriented applications, such as public event monitoring, retrieval, detection and mining. Previous related...
Reliable management of modern cloud computing infrastructures is unrealizable without monitoring and analysis of a huge number of system indicators (metrics) as time series data stored in big databases. Efficient storage and processing of collected historical data from all "objects" of those infrastructures are technology challenges for this Big Data application. We propose a data compression...
Although process monitoring is important for maintaining safety and product quality, it is difficult to understand process characteristics particularly when they are changing. Since the correlation among variables changes due to changes in process characteristics, process data visualization based on the correlation among variables helps process characteristic understanding. In the present work, a...
In order to improve the technical level of the grid state operation, the ant colony algorithm based on dynamic updating is proposed for the massive signal analysis in grid state system with the complexity of the structure and the high reliability. Though data mining and updating in dynamic correlation rules of device monitoring signals with evolutionary genetic algorithm, the correlation analysis...
With the demand of power information construction and the application of D5000 platform, the standardization and management of all kinds of data becomes a necessary condition for data sharing and application integration between systems. In order to realize the safe, convenient and efficient information resource sharing of power enterprises and improve the information management level, the fusion method...
We developed a low cost floor-based personnel detection system, we call a smart carpet, which consists of a sensor pad placed under a carpet, the electronics reads walking activity to provide an automated health monitoring and alert system. We extended the functionalities of the smart carpet to improve its ability to detect falls, alert health care personnel, estimate gait parameters, and count number...
This work considers the problem of fault localization in transparent optical networks. The aim is to localize single-link failures by utilizing statistical machine learning techniques trained on data that describe the network state upon current and past failure incidents. In particular, a Gaussian Process (GP) classifier is trained on historical data extracted from the examined network, with the goal...
Modern power systems have begun integrating synchrophasor technologies into part of daily operations. Given the amount of solutions offered and the maturity rate of application development it is not a matter of “if” but a matter of “when” in regards to these technologies becoming ubiquitous in control centers around the world. While the benefits are numerous, the functionality of operator-level applications...
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