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Three cases for abnormal operating condition are further investigated with the proposed hybrid model.
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Further, the new monitoring index is derived from the likelihoods of the entire process network for detecting abnormal operating events.
On-line monitoring of key performance indicators of chemical processes is a crucial factor for fast operator response to abnormal operating conditions and for the long term optimization of the process operating point.
Leakage during normal operation leads to abnormal operating costs or degradation of the process system.
The results show that obvious vortex for the gas and particles is beneficial to the normal and abnormal operating conditions.
Consequently, it can be concluded that the abnormal operating sound is sufficiently useful as a source signal for the fault diagnosis of mechanical components as well as other source signals.
They apply to lamp reliability, performance and safety under normal, extreme and abnormal operating conditions as a simple but complete quality meter tool for any LED bulb.
Abnormal operating sound radiated from a moving transfer robot has been used for this work instead of other source signals such as vibration, acoustic emission, electrical signal, etc.
Abnormal operating conditions (faults) could be modeled and predicted with high confidence using software applications.
To realize efficient diagnosis for various degrees of blockage, the proposed DB-BDS uses the ratios of temperature differences between normal and abnormal operating conditions at one sensor to those at the other sensor.
The system may include normal operating procedures (OPs), abnormal operating procedures (AOPs), alarm response procedures (ARPs), surveillance test procedures (STPs) and/or emergency operating procedures (EOPs).
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