scholarly journals Modeling the Pneumatic Subsystem of an S-cam Air Brake System

2004 ◽  
Vol 126 (1) ◽  
pp. 36-46 ◽  
Author(s):  
Shankar C. Subramanian ◽  
Swaroop Darbha ◽  
K. R. Rajagopal
Keyword(s):  
Real Time ◽  
Diagnostic System ◽  
Brake System ◽  
Experimental Setup ◽  
Commercial Vehicles ◽  
Free Model ◽  
Air Brake System ◽  
Diagnostic Applications

This paper deals with the development of a fault-free model of the pneumatic subsystem of an air brake system that is used in commercial vehicles. Our objective is to use this model in brake control and diagnostic applications. The development of a diagnostic system would be useful in automating enforcement inspections and also in monitoring the condition of the brake system in real-time. This paper presents a detailed description of the development of this model and of the experimental setup used to corroborate this model for various realistic test runs.

scholarly journals Forensic Engineering Analysis of Commercial Vehicle Air Brake Systems Performance

2018 ◽  
Vol 35 (2) ◽  
Author(s):  
Jerry S. Ogden ◽  
Mathew Martonovich
Keyword(s):  
System Performance ◽  
Difficult Problem ◽  
Performance Criteria ◽  
Brake System ◽  
Motor Vehicles ◽  
Commercial Vehicles ◽  
Weight Percentage ◽  
Acceleration Rate ◽  
Braking Force ◽  
Air Brake System

Braking systems for heavy commercial vehicles differ greatly from the design for light-duty motor vehicles. For example, 49 CFR 571.121 and 49 CFR 393.52 require loaded buses, single unit commercial vehicles, and vehicle-trailer combinations equipped with air brake systems to generate sufficient braking force to meet specific stopping distance, stopping acceleration rate, and brake force-to-weight percentage performance criteria. The combination of unique design, mechanical complexity, and maintenance issues characteristic to air brake systems also pose difficulty in the analysis of air brake system performance. Air brake system performance presents a difficult problem for the forensic engineer with limited familiarity regarding air brake system functions and the elements affecting brake performance. This paper provides insight into the evolution of air brake system standards and the applicable performance criteria for heavy commercial vehicles. The methods presented allow the forensic engineer to mathematically analyze and determine the effects of brake size, mismatched components, brake adjustment, and system air pressure on the overall braking force and stopping capabilities of air brake equipped commercial vehicles.

scholarly journals Research on double tower dryer based on air brake system of rail vehicle

2021 ◽  
Vol 1948 (1) ◽  
pp. 012120
Author(s):  
BuDu Xu ◽  
Xuan Zhang ◽  
ShiXi Zhang ◽  
QingXuan Li ◽  
XiaoYu Zhu
Keyword(s):  
Brake System ◽  
Rail Vehicle ◽  
Air Brake System

Modelling an electropneumatic brake system for commercial vehicles

2011 ◽  
Vol 1 (1) ◽  
pp. 41-48 ◽  
Author(s):  
P. Karthikeyan ◽  
Ch. Siva Chaitanya ◽  
S.C. Subramanian ◽  
N. Jagga Raju
Keyword(s):  
Brake System ◽  
Commercial Vehicles

scholarly journals PERANCANGAN ALOKASI PENYIMPANAN DI GUDANG BAHAN BAKU PADA DIVISI ALAT PERKERETAAPIAN PT PINDAD (PERSERO) UNTUK MENGURANGI WAKTU DELAY MENGGUNAKAN PENDEKATAN ANALISIS FSN DAN CLASS BASED STORAGE POLICY

2016 ◽  
Vol 3 (03) ◽  
pp. 48 ◽  
Author(s):  
Yurinda Amalia ◽  
Ari Yanuar Ridwan ◽  
Budi Santosa
Keyword(s):  
Value Added ◽  
Brake System ◽  
Value Stream Mapping ◽  
System Delay ◽  
Value Stream ◽  
Future State ◽  
Air Brake System

PT Pindad merupakan perusahaan manufaktur di bawah Badan Usaha Milik Negara (BUMN) yang memproduksi produk militer dan produk komersial. PT Pindad memiliki beberapa gudang, salah satunya adalah gudang Divisi Alat Perkeretaapian yang menyimpan berbagai bahan baku untuk memproduksi produk air brake system. Delay terjadi aktivitas storing dan picking, hal ini disebabkan karena adanya proses searching. Penempatan produk secara random oleh operator, menyebabkan alokasi penyimpanan SKU pada tempat penyimpanan tidak tertata rapi dan teratur. Langkah awal yang dilakukan adalah memetakan seluruh proses bisnis dan aktivitas yang terdapat pada gudang Divisi Alat Perkeretaapian PT Pindad dengan menggunakan value stream mapping (VSM) dan process activity mapping (PAM) sehingga didapatkan waktu proses dan value dari masing-masing aktivitas. Untuk itu dilakukan alokasi penyimpanan produk agar mengurangi waktu non value added dengan pengklasifikasian menggunakan analisis FSN, kemudian dilakukan slotting dan zonafikasi untuk menentukan area penempatan barang untuk-untuk masing-masing SKU berdasarkan klasifikasi. Setelah dilakukan pengklasifikasian, slotting dan zonafikasi, maka langkah selanjutnya adalah merancang future state map perancangan usulan, sehingga didapatkan disimpulkan waktu delay menurun 22% dari total waktu keseluruhan waktu proses yaitu 846,26 detik atau 14,10 menit, dan penurunan persentase non value added sebesar 17%.

scholarly journals Development of multiplex real-time RT-PCR assay for the detection of SARS-CoV-2

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250942
Author(s):  
Huseyin Tombuloglu ◽  
Hussein Sabit ◽  
Ebtesam Al-Suhaimi ◽  
Reem Al Jindan ◽  
Khaled R. Alkharsah
Keyword(s):  
Real Time ◽  
Single Gene ◽  
False Negative ◽  
Diagnostic System ◽  
Virus Detection ◽  
Current Method ◽  
Pcr Method ◽  
Polymerase Chain ◽  
Positive Results ◽  
Good Agreement

The outbreak of the new human coronavirus SARS-CoV-2 (also known as 2019-nCoV) continues to increase globally. The real-time reverse transcription polymerase chain reaction (rRT-PCR) is the most used technique in virus detection. However, possible false-negative and false-positive results produce misleading consequences, making it necessary to improve existing methods. Here, we developed a multiplex rRT-PCR diagnostic method, which targets two viral genes (RdRP and E) and one human gene (RP) simultaneously. The reaction was tested by using pseudoviral RNA and human target mRNA sequences as a template. Also, the protocol was validated by using 14 clinical SARS-CoV-2 positive samples. The results are in good agreement with the CDC authorized Cepheid`s Xpert® Xpress SARS-CoV-2 diagnostic system (100%). Unlike single gene targeting strategies, the current method provides the amplification of two viral regions in the same PCR reaction. Therefore, an accurate SARS-CoV-2 diagnostic assay was provided, which allows testing of 91 samples in 96-well plates in per run. Thanks to this strategy, fast, reliable, and easy-to-use rRT-PCR method is obtained to diagnose SARS-CoV-2.

scholarly journals FPGA Implementation of a Single Step MFCV Estimator Based on EMG in Diabetic Neuropathy

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Daniela De Venuto ◽  
Giovanni Mezzina
Keyword(s):  
Diabetic Neuropathy ◽  
Real Time ◽  
Muscle Fibre ◽  
Diagnostic System ◽  
Correlation Method ◽  
Single Step ◽  
Velocity Estimation ◽  
In Vivo Test ◽  
Starting Point

This paper details the design and the hardware implementation of a real-time diagnostic system based on FPGA for the muscle fibre conduction velocity estimation (MFCV). The MFCV is considered as a principal monitoring index for diabetic neuropathy (DPN), as well as in muscle fatigue assessment, to evaluate the muscle fibre status. The FPGA platform evaluates the MFCV during dynamic contractions (e.g., gait), by exploiting a multichannel sensing system composed of 4 wireless surface EMG electrodes, placed in pair on each leg. Raw data are digitized and made binary to create two bitstreams for each monitored limb. Then, a comparison between the two-bit streamed EMGs extracted from the same leg is carried out. The comparison, which allows extracting the MFCV, exploits a computationally light version of the cross-correlation method. The overall architecture implemented and validated on an Altera Cyclone V FPGA is HPS-free and exploits 22.5% ALMs, 10,874 ALUTs, 9.81% registers, 3.36% block memory, and <2.7% of the total wires available on the platform. The choice of FPGA as computing system lies in the possibility to determine resource utilization, related timing constraints for a future real-time ASIC implementation in wearable applications. From the actual muscle contraction during gait (cyclical starting point of the computing), the system spends about 316 ms to acquire useful data and 47.5 ms (on average) to process the signal and provide the output, dynamically dissipating 28.6 mW. The accuracy of the tool evaluation has been evaluated proving the repeatability of the measurements by in vivo test. In this context, 1250 contractions from each subject involved in a protocolled 10-meter walk have been acquired (n=10 subjects evaluated). On average, the same MFCV estimation has been extracted on 1184/1250 contractions (standard deviation of 11 contractions), reaching an accuracy of 94.7%. These estimations fully match the physiological value range reported in literature.

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