Fault Diagnosis Using Data Fusion with Ensemble Deep Learning Technique in IIoT

Venkatasubramanian, Suresh; Raja, S. P.; V, Sumanth; Dwivedi, Jaiprakash Narain; Sathiaparkavi, J; Modak, Santanu; Kejela, Mandefro Legesse

doi:10.1155/2022/1682874

Cited by 12 publications

(7 citation statements)

References 33 publications

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“…All this information is contained in a special database stored on the backup management server [47]. The management server instructs the agent program installed on the client computer to start backing up data according to the selected policy in accordance with the schedule or according to the operator's command [48]. The agent program collects and transfers the data to be backed up to the copy server specified by the management server [49].…”

Section: Issues Proposed Suggestionsmentioning

confidence: 99%

A Secured Database Monitoring Method to Improve Data Backup and Recovery Operations in Cloud Computing

Ramesh¹,

Logeshwaran²,

Aravindarajan³

2023

BIJCS

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In general, the company sometimes uses unregistered functions in database, which significantly improves performance, but does not leave the possibility of recovery except for backup. That is, actions must be performed immediately after passing the session. A queue problem is likely to cause data loss and downtime of about a week. In modern conditions, this can lead to the bankruptcy of the company. It can be seen that backup systems have been installed and configured, but despite this, they have not succeeded in restoring within the time frame specified in the SLA. In this study, a secured database monitoring method was proposed to improve data backup and recovery operations in cloud computing. In this proposed method, the backup speed is directly proportional to the amount of data, while having at least 30% annual data growth. In 3–4 years, the data at least doubled, but for some companies, this number is even higher, while the backup speed does not change. Those terms and those SLAs that were relevant 3–4 years ago now need to be at least doubled. At the same time, business requirements for data recovery (recovery point objective/recovery time objective) continue to grow

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Section: Issues Proposed Suggestionsmentioning

confidence: 99%

A Secured Database Monitoring Method to Improve Data Backup and Recovery Operations in Cloud Computing

Ramesh¹,

Logeshwaran²,

Aravindarajan³

2023

BIJCS

View full text Add to dashboard Cite

show abstract

“…PETG is mainly remembered for its strength and durability, and the plastic is resistant to high temperatures, UV rays, water, chemical solvents, and other environmental factors. All of this makes PETG an excellent filament material choice for printing parts that will be exposed to harsh environments or will be subjected to a high level of physical stress [46][47][48][49].…”

Section: Fabrication and Testingmentioning

confidence: 99%

A Decision-Making Carbon Reinforced Material Selection Model for Composite Polymers in Pipeline Applications

Mustafa

Raja²,

Alasadi

et al. 2023

Advances in Polymer Technology

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Pipes are manufactured primarily through the extrusion process. One of the material extrusion processes in recent digital manufacturing is additive manufacturing’s fusion deposition modeling. Pipes are made from various materials such as metal and plastic/polymers, and the main challenge has been in selecting the pipe material for the customized application. For the creation of water-passing tubes, this research has chosen appropriate carbon-reinforced polymers that can be used with filament made of polyether ether ketone (PEEK) and polyethylene terephthalate glycol (PETG). For this goal, the analytical hierarchy process, also known as the AHP, is used to choose the best material based on factors such as cost, temperature resistance, printing speed, and mechanical properties of the material. The results revealed that PEEK-CF is a better material for the customized impeller application than PETG-CF. The PEEK-CF obtains the higher priority value of 0.6363, and the PETG-CF obtains 0.2791. This decision-making technique can be used to select other comparable customized applications.

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“…To predict the automated situation in industry, Venkatasubramanian et al [22] found the fault analysis model by IIOT. e best number and locations of temporal rescue centres are then determined using global particle swarm optimization and mixed-integer linear programming.…”

Section: Related Workmentioning

confidence: 99%

OCHSA: Designing Energy-Efficient Lifetime-Aware Leisure Degree Adaptive Routing Protocol with Optimal Cluster Head Selection for 5G Communication Network Disaster Management

Raja

Logeshwaran²,

Srinivasan³

et al. 2022

Scientific Programming

112

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As an underlayment to cellular 5G communication network, device-to-device (D2D) communications will not only boost capacity utilization and power efficiency but also provide public health and public safety services. One of the most important requirements for these businesses is to have alternate access to cellular networks in the event that they are partially or completely disrupted as a result of a natural disaster. Despite limited communication coverage and bandwidth scarcity, the 3rd Generation Partnership Project (3GPP) must have developed a new device-to-device (D2D) communication method fundamental enhanced mobile that can strengthen spectral efficiencies besides allowing direct communication of gadgets in close propinquity devoid of transitory by elevated-node B (eNB). Unfortunately, enabling data transmission on a cellular connection offers a challenge in terms of two-way radio source administration, because D2D associates recycle cellular users’ uplink radio resources, which might create interference to D2D user equipment’s (DUE) receiving channels. In this study, we concentrate on optimal cluster head selection using the binary flower pollination optimization algorithm by designing an energy-efficient lifetime-aware leisure degree adaptive routing protocol named OptCH_L-LDAR. This topology is constructed with a multi-hop obliging communication system, instructed on the way to wrap an extensive remoteness connecting source and destination. The proposed OptCH_L-LDAR is compared with three state-of-art methods such as binary flower pollination (BFP) algorithm, time division multiple access (TDMA), and data-driven technique (DDT). As a result, the proposed OptCH_L-LDAR achieves 96% of energy efficiency, 89% of lifetime, 97% of outage probability, and 98% of spectral efficiency.

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Fault Diagnosis Using Data Fusion with Ensemble Deep Learning Technique in IIoT

Cited by 12 publications

References 33 publications

A Secured Database Monitoring Method to Improve Data Backup and Recovery Operations in Cloud Computing

A Secured Database Monitoring Method to Improve Data Backup and Recovery Operations in Cloud Computing

A Decision-Making Carbon Reinforced Material Selection Model for Composite Polymers in Pipeline Applications

OCHSA: Designing Energy-Efficient Lifetime-Aware Leisure Degree Adaptive Routing Protocol with Optimal Cluster Head Selection for 5G Communication Network Disaster Management

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