Reliability Analysis of Car Subsystem
by Weibull Two Parameter Analysis
Pushpdant Jain and Lijo Varghese
Abstract The present work deals with the development of a statistical model for
an automobile subsystem to evaluate the reliability of various systems of car. The
fault identification method was adopted and utilized to collect the required data from
a private service station. The data were further categorized on the basis of kilometres travelled such as up to 25,000 km, 25,001–50,000 km and 50,001–75,000 km.
The speed of 60kmph speed considered as time function in the Weibull distribution method calculates the various system reliability. Results for systems such as
clutch, rear brake, front brake and suspension were calculated, and suggestions were
provided accordingly. Obtained results show that the failure of systems follows the
pattern of clutch, front brake, suspension and rear brake according to the travelled
distance. The results and associated analysis may be used to calculate the reliability
of other car systems of similar segments.
Keywords Automobile · Maintenance · Reliability · Scheduling
1 Introduction
Vehicle reliability and maintenance is one of the essential functions in the logistics
sector, involving routine checkup and preventive maintenance. It can be a costly
function when it does not perform on time, in turn, results in various vehicle system
failure. Chisa et al. [1] considered a statistical model to perform the reliability analysis
to predict the performance parameters of the automobile subsystem. The results
reflected that preventive maintenance plays a significant role to avoid instant system
P. Jain (B)
School of Mechanical Engineering, VIT Bhopal University, Indore Bhopal Highway, Kothrikalan,
Sehore, Madhya Pradesh 466114, India
e-mail: pushpdant@gmail.com
L. Varghese
Department of Mechanical Engineering, Oriental Institute of Science and Technology, Bhopal
462021, Madhya Pradesh, India
e-mail: lijovarghese08@gmail.com
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
A. K. Parwani et al. (eds.), Recent Advances in Mechanical Infrastructure,
Lecture Notes in Intelligent Transportation and Infrastructure,
https://doi.org/10.1007/978-981-33-4176-0_12
145
by Weibull Two Parameter Analysis
Pushpdant Jain and Lijo Varghese
Abstract The present work deals with the development of a statistical model for
an automobile subsystem to evaluate the reliability of various systems of car. The
fault identification method was adopted and utilized to collect the required data from
a private service station. The data were further categorized on the basis of kilometres travelled such as up to 25,000 km, 25,001–50,000 km and 50,001–75,000 km.
The speed of 60kmph speed considered as time function in the Weibull distribution method calculates the various system reliability. Results for systems such as
clutch, rear brake, front brake and suspension were calculated, and suggestions were
provided accordingly. Obtained results show that the failure of systems follows the
pattern of clutch, front brake, suspension and rear brake according to the travelled
distance. The results and associated analysis may be used to calculate the reliability
of other car systems of similar segments.
Keywords Automobile · Maintenance · Reliability · Scheduling
1 Introduction
Vehicle reliability and maintenance is one of the essential functions in the logistics
sector, involving routine checkup and preventive maintenance. It can be a costly
function when it does not perform on time, in turn, results in various vehicle system
failure. Chisa et al. [1] considered a statistical model to perform the reliability analysis
to predict the performance parameters of the automobile subsystem. The results
reflected that preventive maintenance plays a significant role to avoid instant system
P. Jain (B)
School of Mechanical Engineering, VIT Bhopal University, Indore Bhopal Highway, Kothrikalan,
Sehore, Madhya Pradesh 466114, India
e-mail: pushpdant@gmail.com
L. Varghese
Department of Mechanical Engineering, Oriental Institute of Science and Technology, Bhopal
462021, Madhya Pradesh, India
e-mail: lijovarghese08@gmail.com
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
A. K. Parwani et al. (eds.), Recent Advances in Mechanical Infrastructure,
Lecture Notes in Intelligent Transportation and Infrastructure,
https://doi.org/10.1007/978-981-33-4176-0_12
145