Prediction of flow by linear parameter varying model under disturbance

Sravani, V.; Venkata, Santhosh Krishnan

doi:10.1016/j.measurement.2021.110124

Cited by 4 publications

(5 citation statements)

References 49 publications

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“…The LPV models for the measurement and estimation of flow are formulated and discussed in our previous work [ 31 ]. The performance of the LPV models is compared with the experimental system, as shown in Figure 9 .…”

Section: Fdi Techniques Applied To Orifice Flowmetermentioning

confidence: 99%

“…The structure is developed between the input and output data based on certain mathematical relations. The NN developed in [ 31 ] is used for FDI with the beta ratio, density, and Reynolds number as input parameters.…”

Section: Fdi Techniques Applied To Orifice Flowmetermentioning

confidence: 99%

“…The experimental setup consisting of an orifice flowmeter is illustrated in Figure 5. The quadrant-shaped orifice plate inserted in a 3 4 -inch pipe has a beta ratio of 0.42 with The LPV models for the measurement and estimation of flow are formulated and discussed in our previous work [31]. The performance of the LPV models is compared with the experimental system, as shown in Figure 9.…”

Section: Fdi Techniques Applied To Orifice Flowmetermentioning

confidence: 99%

“…The rest of the paper focuses on detecting faults in an orifice flowmeter using the LO-based soft sensor. The LPV models for the measurement and estimation of flow are formulated and discussed in our previous work [31]. The performance of the LPV models is compared with the experimental system, as shown in Figure 9.…”

Section: Fdi Techniques Applied To Orifice Flowmetermentioning

confidence: 99%

“…Hence, there is a difference in the initial dynamics of the model and experimental station, but the settling points are the same with less than 5% of error overall. The LPV models for the measurement and estimation of flow are formulated and discussed in our previous work [31]. The performance of the LPV models is compared with the experimental system, as shown in Figure 9.…”

Section: Fdi Techniques Applied To Orifice Flowmetermentioning

confidence: 99%

See 4 more Smart Citations

Detection of Sensor Faults with or without Disturbance Using Analytical Redundancy Methods: An Application to Orifice Flowmeter

Sravani

Venkata

2023

Sensors

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Sensors and transducers play a vital role in the productivity of any industry. A sensor that is frequently used in industries to monitor flow is an orifice flowmeter. In certain instances, faults can occur in the flowmeter, hindering the operation of other dependent systems. Hence, the present study determines the occurrence of faults in the flowmeter with a model-based approach. To do this, the model of the system is developed from the transient data obtained from computational fluid dynamics. This second-order transfer function is further used for the development of linear-parameter-varying observers, which generates the residue for fault detection. With or without disturbance, the suggested method is capable of effectively isolating drift, open-circuit, and short-circuit defects in the orifice flowmeter. The outcomes of the LPV observer are compared with those of a neural network. The open- and short-circuit faults are traced within 1 s, whereas the minimum time duration for the detection of a drift fault is 5.2 s and the maximum time is 20 s for different combinations of threshold and slope.

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Section: Fdi Techniques Applied To Orifice Flowmetermentioning

confidence: 99%

Section: Fdi Techniques Applied To Orifice Flowmetermentioning

confidence: 99%