Implementation, parameters calibration and field validation of a Closed Loop Performance Monitoring system

2010 ◽  
Vol 34 (2) ◽  
pp. 263-276 ◽  
Author(s):  
Claudio Scali ◽  
Marco Farnesi
Keyword(s):  
Monitoring System ◽  
Performance Monitoring ◽  
Closed Loop ◽  
Field Validation

ISSUES IN ON-LINE IMPLEMENTATION OF A CLOSED LOOP PERFORMANCE MONITORING SYSTEM

2006 ◽  
Vol 39 (2) ◽  
pp. 687-692
Author(s):  
Claudio Scali ◽  
Fabio Ulivari ◽  
Antonio Farina
Keyword(s):  
Monitoring System ◽  
Performance Monitoring ◽  
Closed Loop ◽  
On Line

Implementation and Validation of a Closed Loop Performance Monitoring System

2009 ◽  
Vol 42 (11) ◽  
pp. 76-85 ◽  
Author(s):  
Claudio Scali ◽  
Marco Farnesi ◽  
Raffaello Loffredo ◽  
Damiano Bombardieri
Keyword(s):  
Monitoring System ◽  
Performance Monitoring ◽  
Closed Loop

Efficient but less mobilized monitoring system in individuals with high aggressive predispositions

2019 ◽  
Author(s):  
Fanny Grisetto ◽  
Yvonne N. Delevoye-Turrell ◽  
Clémence Roger
Keyword(s):  
Cognitive Control ◽  
Monitoring System ◽  
Congruency Effect ◽  
Performance Monitoring ◽  
Simon Task ◽  
Aggressive Behaviors ◽  
Eeg Recordings ◽  
Global Reduction

Aggressive behaviors in pathological and healthy populations have been largely related to poor cognitive control functioning. However, few studies investigated the influence of aggressive traits (i.e., aggressiveness) on cognitive control. In the current study, we investigated the effects of aggressiveness on cognitive control abilities and particularly, on performance monitoring. Thirty-two participants performed a Simon task while electroencephalography (EEG) and electromyography (EMG) were recorded. Participants were classified as high and low aggressive using the BPAQ questionnaire (Buss & Perry, 1992). EMG recordings were used to reveal three response types by uncovering small incorrect muscular activations in ~15% of correct trials (i.e., partial-errors) that have to be distinguished from full-error and pure-correct responses. For these three response types, EEG recordings were used to extract fronto-central negativities indicative of performance monitoring, the error and correct (-related) negativities (ERN/Ne and CRN/Nc). Behavioral results indicated that the high aggressiveness group had a larger congruency effect compared to the low aggressiveness group, but there were no differences in accuracy. EEG results revealed a global reduction in performance-related negativities amplitudes in all the response types in the high aggressiveness group compared to the low aggressiveness group. Interestingly, the distinction between the ERN/Ne and the CRN/Nc components was preserved both in high and low aggressiveness groups. In sum, high aggressive traits did not affect the capacity to self-evaluate erroneous from correct actions but are associated with a decrease in the importance given to one’s own performance. The implication of these findings are discussed in relation to pathological aggressiveness.

Design of distributed and self-adaptive performance monitoring system based on software rejuvenation

2010 ◽  
Vol 30 (6) ◽  
pp. 1642-1644
Author(s):  
Jing YOU ◽  
Kang-ning XU ◽  
Hong-yuan WANG ◽  
Ya-nan YANG ◽  
Jin-shu GAO
Keyword(s):  
Monitoring System ◽  
Performance Monitoring ◽  
Adaptive Performance ◽  
Software Rejuvenation ◽  
Self Adaptive

A Kind of Environment Monitoring System Used for Aircraft Fire Training Simulator

2013 ◽  
Vol 760-762 ◽  
pp. 1250-1253
Author(s):  
Chun Guo Fei ◽  
Jin Long Zhang ◽  
Tian Hao Liu ◽  
Hai Zhong Xu
Keyword(s):  
Monitoring System ◽  
Pid Controller ◽  
Closed Loop ◽  
Real Time Control ◽  
Training Simulator ◽  
Training Environment ◽  
Time Control ◽  
Sensor Detection ◽  
Training Efficiency ◽  
Command Center

Aircraft fire training simulators are key facilities in airport used for firefighters to do firefighting trainings. In order to protect the safety of firefighters, the monitoring system should be applied to monitor the internal environment of the simulator. In accordance with the requirements of the training environment, a kind of monitoring system based on MCU and GPRS communication components are built. The parameterized PID controller, the sensor detection module, the fan and spray drive module are consisted of closed-loop to achieve real-time control and regulation on the smoke and temperature of the internal simulator. Using GPRS module, the internal scenes of the simulator are sent to the command center through the information transmission system. Based on the information transported from training site, command center can take the appropriate training programs to guide firefighters. Use this system, the training safety is ensured and the training efficiency is improved at the same time.

Compressor Computerized Performance Monitoring System CPMS

2021 ◽  
Author(s):  
Vadim Goryachikh ◽  
Fahad Alghamdi ◽  
Abdulrahman Takrouni
Keyword(s):  
Natural Gas ◽  
Real Time ◽  
Monitoring System ◽  
Performance Monitoring ◽  
Compressibility Factor ◽  
Background Information ◽  
Monitoring Systems ◽  
Turbo Expander ◽  
Time Calculation ◽  
Performance Deterioration

Abstract Background information Natural gas liquid (NGL) production facilities, typically, utilize turbo-expander-brake compressor (TE) to generate cold for C2+ separation from the natural gas by isentropic expansion of feed stream and use energy absorbed by expansion to compress residue gas. Experience shows that during operational phase TE can exposed to operation outside of design window that may lead to machine integrity loss and consequent impact on production. At the same time, there is a lack of performance indicators that help operator to monitor operating window of the machine and proactively identify performance deterioration. For instance, TE brake compressor side is always equipped with anti-surge protection system, including surge deviation alarms and trip. However, there is often gap in monitoring deviation from stonewall region. At the same time, in some of the designs (2×50% machines) likelihood of running brake compressor in stonewall is high during one machine trip or train start-up, turndown operating modes. Also, typical compressor performance monitoring systems does not have enough dynamic parameters that may indicate machine process process performance deterioration proactively (real-time calculation of actual polytrophic efficiency, absorbed power etc.) and help operator to take action before catastrophic failure occurs. In addition, typical compressor monitoring systems are based on assumed composition and fixed compressibility factor and do not reflect actual compositions variations that may affect machine performance monitoring. To overcome issues highlighted above, Hawiyah NGL (HNGL) team has developed computerized monitoring and advisory system to monitor the performance of turbo-expander-brake compressor, proactively, identify potentially unsafe conditions or performance deterioration and advice operators on taking necessary actions to avoid unscheduled deferment of production. Computerized performance monitoring system has been implemented in HNGL DCS (Yokogawa) and utilized by control room operators on day-to-day basis. Real-time calculation, analysis and outputs produced by performance monitoring system allow operator to understand how current operating condition are far from danger zone. Proactive deviation alarms and guide messages produce by the system in case of deviation help operators to control machine from entering unsafe region. Actual polytrophic efficiency, adsorbed power calculations provide machine condition status and allow identifying long-term performance deterioration trends.

Sign in / Sign up

Export Citation Format

Share Document