Case Study: Locomotive Sleeper Reliability Investigating Bifurcation Phenomenon with Vibration Mapping

Ashish Arora, Data Analyst, Institute Of Noise & Vibration Madhavendra Saxena, Research Scholar, Poornima University

Description

India has one of “The Largest Rail Networks” in the World. Locomotive network is the catalyst for Economic and Societal Growth of Cities, Region And a Country. According to survey, it has not reached the “Global Level” in terms of “Safety & Reliability”. Railway Sleeper is the vital component of the Rail Defects. In Railway axle Bearing is major primary defect which can affect operational eficiency or cause in-service failures, also damaging the track. These cracks leads to derailments of tracks which may cause an intense damage to Life & Property of a developing region. Healthy bearings produce a certain level of Vibration And Noise. The undesirable locomotive Noise & Vibration include Rolling Noise, Impact Noise, Curve Noise, Mechanical Noise, Airborne Noise, Structure & Ground-Borne Noise. The Bifurcation Phenomena are observed upon varying parameters such as “The Coefficient Of Friction” and “The Amplitude of External Force”. We investigate the Bifurcation Phenomenon from Stick-Slip Vibration. Defects development ‘Mapping The Underworld’ (MTU) is an on-going process to consistently locate the buried utility service infrastructure without resorting to extensive excavations and recorrection. Technologies under investigation include Ground Penetrating Radar, Low Frequency Quasi-Static Electromagnetic Fields, Passive Magnetic Fields and Low-Frequency Vibro-Acoustics. Thus enabling the user to Analyze & Predict values of Vibration velocity, acceleration & displacement. These maps can also be used to evaluate the Reasonability of existing complaints in areas located in vicinity of The Constructionists (in the form of annoyance to a persons or cosmetic damages to buildings). This paper “Strategic Vibration mapping Concept for Railway Infrastructures” has been written including discussion about Input Data, Vibration Harshness Evaluation, Quantification & Action Planning and  Magnitude Estimation Experiments with both Frequency and Amplitude. The process is as following:-

  • Condition Assessment For Box Bearings, Gearbox And Traction Motors Bearings Safe Operation Time Forecast
  • Use Of Composite Sleepers Not Only Reduces The Land Pollution From Disposed Waste
  • For The Upcoming Years Every Construction Activity Needs To Focus On Sustainable Engineering And Research
  • Attempts to Give the Alternative Smart Solution for Future Infrastructure Engineering Sector.

Takeaways

1. Locomotive network
2. Sleeper
3. Vibration mapping

Bio - Ashish Arora

Ashish Arora is an enthusiastic Data Analyst for Vibration Analysis Services specialization in Ground Vibration, Track Vibration, Structure Borne Vibration, Predictive Maintenance, Noise & Vibration Analysis and Mapping having eight years of experience as a practitioner. Holds a B.E. Degree in Mechanical Engineering Technology from Maharishi Dayanand University and is a member of the Condition Monitoring Society Of India. Currently, involved in Ground Vibration, Structure Health Diagnostics & Reliability Analysis Projects with Delhi Metro Rail Corporation-CRRI, New Delhi. Also associated with Seismograph Technology from Uttamblastech Hyderabad for Control Blasts in Mines and Demolition of Buildings using seismographs to predict different vibration levels.

Bio - Madhavendra Saxena

Qualified senior academician with nearly 26 years of overall experience including over 14 years in the field of teaching, academics and research focused on Teaching Interest, Mechatronics, Measurement, Reliability And Predictive Maintenance, Industrial Engineering, Energy, Law For Engineers across diverse organizations.
Presently associated with Pilot project reactive to proactive condition based maintenance with machine learning “Opportunity And Challenges Of Machine Health Monitoring Market In Asia Pacific Region” encompassing Cloud and IIOT with 55000/18000 ISO Standards