Evidence map›Paper›PMID 40188138›Full record

ArticleScientific reports2025

ML techniques increasing the power factor of a compression ignition engine that is powered by Annona biodiesel using SATACOM.

ArunKumar Munimathan, Silambarasan Rajendran, Abhishek Kumar Tripathi, Jaya Jayabalan, Vijayakumar Palanivel, Rakesh Varma, S Prabhakar, Mamdooh Alwetaishi

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

ArunKumar MunimathanDepartment of Mechatronics Engineering, Hindusthan College of Engineering and Technology, Coimbatore, 641032, India. mrarunapdpi@gmail.com.
Silambarasan RajendranDepartment of Mechanical Engineering, Annapoorana Engineering College, Salem, Tamil Nadu, India.
Abhishek Kumar TripathiDepartment of Mining Engineering, Aditya University, Surampalem, India.
Jaya JayabalanDepartment of Electronics and Communication Engineering, Hindusthan College of Engineering and Technology, Coimbatore, 641032, India.
Vijayakumar PalanivelDepartment of Aeronautical Engineering, Nehru Institute of Technology, Coimbatore, 641105, India.
Rakesh VarmaDepartment of Mechanical Engineering, Aditya University, Surampalem, India.
S PrabhakarSchool of Mechanical Engineering, Wollo University, Dessie, Ethiopia. prabhakar@kiot.edu.et.
Mamdooh AlwetaishiDepartment of Civil Engineering, College of Engineering, Taif University, P.O. Box 11099, 21944, Taif, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global production of biodiesel in 2023 amounted to 34 billion liters because compression ignition engines need environmentally friendly fuel alternatives. The research investigates Annona biodiesel in combination with machine learning (ML) and STATCOM (Static Synchronous Compensator) technology to enhance power quality along with noise and vibration control in CI engines. Engine performance testing of diesel and B20-20% Annona biodiesel occurs under controlled conditions at rpm from 1200 to 2400 at which point STATCOM implemented both power factor improvement and current harmonic reduction for enhanced power quality. The B20 blend delivered 1.2400 kW output power while operating at 2400 RPM but generated a lower delivery than diesel engines produced at 4.8 kW. At a torque peak zone between 2100 and 2400 rpm diesel fuel exhibited enhanced performance because it had a better calorific value and reduced viscosity. Tests demonstrated B20 decreased engine vibrations to 16.8 m/s

Indexed as

AnnonaBiofuelsCompression AlgorithmsMachine LearningTorqueVibrationBiofuelsDiesel and annona biodieselPower qualityTorqueVibration

Identifiers

PMID40188138
PMCPMC11972381

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.