Road Test Results of an I-C Engine Misfire Detection System

1993 ◽  
Author(s):  
W. B. Ribbens ◽  
J. Park
Keyword(s):  
Detection System ◽  
Test Results ◽  
Road Test ◽  
Misfire Detection

Development of Spark Plug for Ion Current Misfire Detection System

2012 ◽  
Vol 5 (3) ◽  
pp. 1387-1393 ◽  
Author(s):  
Kaori Doi ◽  
Yoshihiro Nakamura ◽  
Ken Hanashi ◽  
Katushi Hashizume
Keyword(s):  
Detection System ◽  
Ion Current ◽  
Spark Plug ◽  
Misfire Detection

Drive and Brake Joint Control of Acceleration Slip Regulation Road Test

2014 ◽  
Vol 971-973 ◽  
pp. 454-457
Author(s):  
Gang He ◽  
Li Qiang Jin
Keyword(s):  
Front Wheel ◽  
Driving Ability ◽  
Joint Control ◽  
Test Results ◽  
Road Test ◽  
Wheel Slip ◽  
Traction Control ◽  
Wheel Drive ◽  
Driving Wheel ◽  
Independent Design

Based on the independent design front wheel drive vehicle traction control system (TCS), we finished the two kinds of working condition winter low adhesion real vehicle road test, including homogenous pavement and separate pavement straight accelerate, respectively completed the contrastive experiment with TCS and without TCS. Test results show that based on driver (AMR) and brake (BMR) joint control ASR system worked reliably, controlled effectively, being able to control excessive driving wheel slip in time, effectively improved the driving ability and handling stability of vehicle.

scholarly journals Implementasi Algoritma You Only Look Once (YOLO) untuk Deteksi Korban Bencana Alam

2021 ◽  
Vol 8 (4) ◽  
pp. 787
Author(s):  
Moechammad Sarosa ◽  
Nailul Muna
Keyword(s):  
Image Processing ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Test Data ◽  
Detection System ◽  
Training Data ◽  
Test Results ◽  
Disaster Victim ◽  
Rapid Evacuation

<p class="Abstrak">Bencana alam merupakan suatu peristiwa yang dapat menyebabkan kerusakan dan menciptakan kekacuan. Bangunan yang runtuh dapat menyebabkan cidera dan kematian pada korban. Lokasi dan waktu kejadian bencana alam yang tidak dapat diprediksi oleh manusia berpotensi memakan korban yang tidak sedikit. Oleh karena itu, untuk mengurangi korban yang banyak, setelah kejadian bencana alam, pertama yang harus dilakukan yaitu menemukan dan menyelamatkan korban yang terjebak. Penanganan evakuasi yang cepat harus dilakukan tim SAR untuk membantu korban. Namun pada kenyataannya, tim SAR mengalami kendala selama proses evakuasi korban. Mulai dari sulitnya medan yang dijangkau hingga terbatasnya peralatan yang dibutuhkan. Pada penelitian ini sistem diimplementasikan untuk deteksi korban bencana alam yang bertujuan untuk membantu mengembangkan peralatan tim SAR untuk menemukan korban bencana alam yang berbasis pengolahan citra. Algoritma yang digunakan untuk mendeteksi ada atau tidaknya korban pada gambar adalah <em>You Only Look Once</em> (YOLO). Terdapat dua macam algoritma YOLO yang diimplementasikan pada sistem yaitu YOLOv3 dan YOLOv3 Tiny. Dari hasil pengujian yang telah dilakukan didapatkan <em>F1 Score</em> mencapai 95.3% saat menggunakan YOLOv3 dengan menggunakan 100 data latih dan 100 data uji.</p><p class="Abstrak"> </p><p class="Abstrak"><strong><em>Abstract</em></strong></p><p class="Abstrak"> </p><p class="Abstract"><em>Natural disasters are events that can cause damage and create havoc. Buildings that collapse and can cause injury and death to victims. Humans can not predict the location and timing of natural disasters. After the natural disaster, the first thing to do is find and save trapped victims. The handling of rapid evacuation must be done by the SAR team to help victims to reduce the amount of loss due to natural disasters. But in reality, the process of evacuating victims of natural disasters is still a lot of obstacles experienced by the SAR team. It was starting from the difficulty of the terrain that is reached to the limited equipment needed. In this study, a natural disaster victim detection system was designed using image processing that aims to help find victims in difficult or vulnerable locations when directly reached by humans. In this study, a detection system for victims of natural disasters was implemented which aims to help develop equipment for the SAR team to find victims of natural disasters based on image processing. The algorithm used is You Only Look Once (YOLO). In this study, two types of YOLO algorithms were compared, namely YOLOv3 and YOLOv3 Tiny. From the test results that have been obtained, the F1 Score reaches 95.3% when using YOLOv3 with 100 training data and 100 test data.</em></p>

Study of Remote Elevator Monitoring Fault Detection System

2012 ◽  
Vol 499 ◽  
pp. 459-463 ◽  
Author(s):  
Jian Liu ◽  
Dong Sheng Fan ◽  
Yue Wu ◽  
Guo Jiang Fu ◽  
Mei Ju Liu
Keyword(s):  
Monitoring System ◽  
Detection System ◽  
System Efficiency ◽  
Test Results ◽  
Resource Center ◽  
Control Scheme ◽  
Interface Function ◽  
Important Means ◽  
Embedded Terminal ◽  
Main Thread

Remote Elevator Monitoring (REM) is an important means to ensure elevator secure, reliable working. In this paper, an elevator remote monitoring control scheme is proposed based on multi-threaded technology. Due to all threads in the multi-threaded technology may visit the same overall situation object and the shared resource, center system communicates with embedded terminal is achieved by the method. The remote elevator monitoring system has been designed based on the multi-threaded technology; the main thread interface function is realized by monitor center software, other management operations are also executed in the system. The test results show that the multi-threaded technology applies to the monitoring system, which enhances the system efficiency and security.

An Impact Cutting Test for Tire Tread Stocks

1936 ◽  
Vol 9 (3) ◽  
pp. 520-530
Author(s):  
J. H. Dillon
Keyword(s):  
Laboratory Tests ◽  
Testing Machine ◽  
Test Results ◽  
Road Test ◽  
Cutting Resistance ◽  
Cutting Test ◽  
Impact Device ◽  
Impact Cutting ◽  
The Impact

Abstract The impact cutting device described in this paper is recommended for testing the cutting resistance of tread stocks because of its simplicity and the accuracy with which its results agree with road test results. The fact that the device was designed on semi-quantitative theoretical grounds gives some additional confidence in its results. It is possible that other cutting devices, designed with no regard to theory whatsoever, might operate as well as the impact device. However, it is felt that, since most laboratory tests on rubber stocks are necessarily largely empirical, it is well to attempt to design a testing machine which will operate in the ranges of the variables found in service.

Model Parameter Identification of Tire Dynamic Balance Detection System

2012 ◽  
Vol 157-158 ◽  
pp. 731-736
Author(s):  
Jing Fang Yang ◽  
Xian Ying Feng ◽  
Hong Jun Fu ◽  
Shi Gang Mu
Keyword(s):  
Parameter Identification ◽  
Detection System ◽  
Dynamic Balance ◽  
Signal Amplitude ◽  
Engineering Practice ◽  
Model Parameters ◽  
Test Results ◽  
Process Data ◽  
Validation Experiment ◽  
The Right

Tire dynamic balance detection plays an important part in tire quality detection area. An accurate model structure and precise model parameters are the basis of the right test results. This paper builds a kinetic model based on engineering practice. To acquire parameters presents a method following identification theory. According to the need of actual production, a validation experiment is put forward. In the parameter identification process, data acquisition is completed by the PCI card. For data processing, this paper designs the fitting filter and then it also fetches the signal amplitude and phase with discrete Fourier transform. The results are proven to be right and practicable.

The concept of development and test results of the multimedia shooting detection system

2016 ◽  
Author(s):  
Karol Jedrasiak ◽  
Krzysztof Daniec ◽  
Dawid Sobel ◽  
Damian Bereska ◽  
Aleksander Nawrat
Keyword(s):  
Detection System ◽  
Test Results

A Study on the Knocking and Misfire Detection System Using Breakdown Voltage Characteristics

2002 ◽  
Vol 124 (3) ◽  
pp. 650-659 ◽  
Author(s):  
J. K. Park ◽  
J. O. Chae
Keyword(s):  
Breakdown Voltage ◽  
Detection System ◽  
Exhaust Emissions ◽  
System Concept ◽  
Spark Plug ◽  
Negative Effect ◽  
Misfire Detection ◽  
Three Way Catalyst ◽  
New System ◽  
Engine Power

Engine knocking and misfire cause a negative effect on the engine power and the exhaust emissions such as HC, CO and NOx. They also cause permanent damages to the three way catalyst (TWC) system. And a heavy knock can cause severe damages to the engine itself, which gives more reason why it must be detected and corrected. This study introduces a new system concept for detecting combustion misfire and knocking using breakdown voltage (BDV) characteristics between spark plug electrodes. This system detects and evaluates the degree of combustion by measuring the breakdown voltage which predicts that the breakdown voltage depends on the pressure and the temperature.

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