Determination of minimum sample size for fault diagnosis of automobile hydraulic brake system using power analysis

Indira, V.; Vasanthakumari, R.; Jegadeeshwaran, R.; Sugumaran, V.

doi:10.1016/j.jestch.2014.09.007

Cited by 18 publications

(12 citation statements)

References 25 publications

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“…Some clinical categories showing significant differences ( p < 0.05) were at insufficient power levels (power < 0.8). It is known that power is related to sample size and, in other words, the power of tests could be promoted by adjusting the effect size of samples [25]. Therefore, for these significant but low-power contingency tables, we made a prediction of the number of donors that could meet a sufficient power level under the premise that the hypothetical cross-tabulations had the same cell percentages as that of 184 non-hypermutated donors.…”

Section: Methodsmentioning

confidence: 99%

Genomic landscape of colorectal cancer in Japan: clinical implications of comprehensive genomic sequencing for precision medicine

et al. 2016

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BackgroundComprehensive genomic sequencing (CGS) has the potential to revolutionize precision medicine for cancer patients across the globe. However, to date large-scale genomic sequencing of cancer patients has been limited to Western populations. In order to understand possible ethnic and geographic differences and to explore the broader application of CGS to other populations, we sequenced a panel of 415 important cancer genes to characterize clinically actionable genomic driver events in 201 Japanese patients with colorectal cancer (CRC).MethodsUsing next-generation sequencing methods, we examined all exons of 415 known cancer genes in Japanese CRC patients (n = 201) and evaluated for concordance among independent data obtained from US patients with CRC (n = 108) and from The Cancer Genome Atlas-CRC whole exome sequencing (WES) database (n = 224). Mutation data from non-hypermutated Japanese CRC patients were extracted and clustered by gene mutation patterns. Two different sets of genes from the 415-gene panel were used for clustering: 61 genes with frequent alteration in CRC and 26 genes that are clinically actionable in CRC.ResultsThe 415-gene panel is able to identify all of the critical mutations in tumor samples as well as WES, including identifying hypermutated tumors. Although the overall mutation spectrum of the Japanese patients is similar to that of the Western population, we found significant differences in the frequencies of mutations in ERBB2 and BRAF. We show that the 415-gene panel identifies a number of clinically actionable mutations in KRAS, NRAS, and BRAF that are not detected by hot-spot testing. We also discovered that 26% of cases have mutations in genes involved in DNA double-strand break repair pathway. Unsupervised clustering revealed that a panel of 26 genes can be used to classify the patients into eight different categories, each of which can optimally be treated with a particular combination therapy.ConclusionsUse of a panel of 415 genes can reliably identify all of the critical mutations in CRC patients and this information of CGS can be used to determine the most optimal treatment for patients of all ethnicities.Electronic supplementary materialThe online version of this article (doi:10.1186/s13073-016-0387-8) contains supplementary material, which is available to authorized users.

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Section: Methodsmentioning

confidence: 99%

Genomic landscape of colorectal cancer in Japan: clinical implications of comprehensive genomic sequencing for precision medicine

et al. 2016

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“…K-star model has provided 100% classification efficiency for training dataset, whereas 92.7% for testing dataset. Indira et al [19,18] suggested a minimum number of samples (less than ten per each class) required to distinguish the fault conditions in the area of machine learning approach. However, 50 samples per each class were used for classifying the face milling tool conditions in order to get a statistically stable classification accuracy.…”

Section: Classification Using K-starmentioning

confidence: 99%

Condition monitoring of face milling tool using K-star algorithm and histogram features of vibration signal

Madhusudana

Kumar

Narendranath

2016

Engineering Science and Technology, an International Journal

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a b s t r a c tThis paper deals with the fault diagnosis of the face milling tool based on machine learning approach using histogram features and K-star algorithm technique. Vibration signals of the milling tool under healthy and different fault conditions are acquired during machining of steel alloy 42CrMo4. Histogram features are extracted from the acquired signals. The decision tree is used to select the salient features out of all the extracted features and these selected features are used as an input to the classifier. K-star algorithm is used as a classifier and the output of the model is utilised to study and classify the different conditions of the face milling tool. Based on the experimental results, K-star algorithm is provided a better classification accuracy in the range from 94% to 96% with histogram features and is acceptable for fault diagnosis.

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“…One of the most important safety systems in the vehicle is braking system, which has a decisive impact on the safety level of an active car. In the literature, there is a lot of work about the friction elements of the braking systems [11,14,22,24,25,30] but only few concerning the quality of brake fluid [3,5,17].…”

Section: Introductionmentioning

confidence: 99%

“…The braking performance of the ABS depends on control logics to overcome the time-varying nature of the braking dynamics and many uncertain parameters such as environments, road and friction coefficient [6]. Fault diagnosis is an important process in preventive maintenance of hydraulic brakes [11]. The faults in a hydraulic brake system of an automobile are not fairly noticeable [14].…”

Section: Introductionmentioning

confidence: 99%

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The Research on Ageing of Glycol-Based Brake Fluids of Vehicles in Operation

Caban¹,

Dróździel²,

Vrábel³

et al. 2016

Adv. Sci. Technol. Res. J.

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The road safety depends on many factors, including the efficiency of the technical system and the disposal of the driver of the vehicle. As wear of most of the vehicle assemblies threatened only with a breakdown, excessive wear of the braking system components may pose a risk of a traffic accident. The article presents a study on the quality of the brake fluid conductivity as a function of temperature and water content conducted for a selected group of vehicles. This group of vehicles was characterized by different production date and had a different of vehicle mileage. We presented the methodology of statistical analysis of the quality of brake fluid tests in selected 38 passenger vehicles in operation.

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Determination of minimum sample size for fault diagnosis of automobile hydraulic brake system using power analysis

Cited by 18 publications

References 25 publications

Genomic landscape of colorectal cancer in Japan: clinical implications of comprehensive genomic sequencing for precision medicine

Genomic landscape of colorectal cancer in Japan: clinical implications of comprehensive genomic sequencing for precision medicine

Condition monitoring of face milling tool using K-star algorithm and histogram features of vibration signal

The Research on Ageing of Glycol-Based Brake Fluids of Vehicles in Operation

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