Engine misfires carry heavy ramifications on vehicle health. When a cylinder fails to provide power to the engine, raw fuel might reach the catalytic converter. If not detected or treated in time, misfires cause severe cumulative damage to the vehicle, costing thousands of dollars in repairs per vehicle.
Identifying misfires early-on helps avoid serious damage, prolong vehicle lifetime, and reduce repair expenses.
Detecting Anomalies in Engines
Recently, a leading Tier 1 manufacturer was facing the difficult task of detecting anomalies in its engines. And since sensor data from engine tests tend to include numerous spikes, detecting true anomalies is an unusually difficult task.
The manufacturer decided to hire an outside company to analyze data recorded during some of its dynamometer test runs. Given a limited data set of 194MB to train our algorithm, the company was asked to determine variations between different engines as well as variations within a single test cycle.
That company was Acerta, a Candaia-based analytics firm that provides a machine learning platform that detects malfunction and predicts failures for vehicles coming off the assembly line and being driven. And you can learn more about this particular scenario in their recent case study.
Acerta is transforming quality control by leveraging machine learning to help automakers get complex products to market faster and with fewer defects. The company’s solutions are forged from industrial experience and driven by data, enabling Acerta’s clients to locate the otherwise hidden indicators of future product failures.
From reducing scrap and rework rates to accelerating root cause analysis, Acerta provides automotive engineers with the tools to improve manufacturing throughput and enhance product quality.
Conversation with Greta Cutulenco, CEO of Acerta
To talk with us about these engine misfires and how to troubleshoot them, we welcome Acerta CEO Greta Cutulenco, who joins us this week with more than a decade of experience from business and systems analysis in transit to full stack web developer, safety engineer, and now as CEO of Acerta.
The Mobility Tech & Connectivity Show
Aired in March 2020
In the News…
Coronavirus Update: Teen creates site to track coronavirus, and millions of people are using it
Before most Americans even heard of the coronavirus, Avi Schiffmann was closely tracking it.
When the high school junior, who lives near Seattle, learned of the mystery virus spreading in China, he decided to build a website that would monitor cases and provide facts about it. It has become wildly popular as the world has braced for the epidemic: Since Christmas, the site has had more than 3 million unique visitors.
The site collects data from various sources, such as local health departments, and cross checks the data with the World Health Organization and the Centers for Disease Control and Prevention.
The dashboard includes quick facts, including total number of confirmed cases, number of confirmed cases outside China, number of deaths, number of people recovered and total countries with coronavirus.
Schiffmann — a self-taught coder who participates in hackathons and hopes to “create something really big” one day — created a program that updates these numbers every 10 minutes. While the data updates automatically, he devotes about six hours a day to improving the site.
Tesla scouting central U.S. for new factory of Cybertruck
Tesla CEO Elon Musk said on Tuesday he was looking for locations in the central United States to build a new factory for the company’s electric pickup truck.
Cybertruck, a wedge-shaped pickup, is expected to go into production in late 2021 and start selling for a price of just under $40,000.
Musk in January also said that Tesla needed to increase its battery capacity to produce high-capacity models like the Cybertruck. He took to Twitter last month to ask users if the electric carmaker should build a new gigafactory in Texas.
How will Coronavirus affect 2020 auto sales?
The loss of a single week of auto sales in the U.S. as a result of the spread of the novel coronavirus could have staggering ripple effects on the broader economy, according to data from the Center for Automotive Research in Ann Arbor, Mich.
For every seven-day period that consumers stop buying new vehicles, the U.S. economy would lose roughly 94,400 jobs and $7.3 billion in overall earnings, said Kristin Dziczek, the center’s vice president of industry, labor and economics. Government tax receipts would drop about $2 billion, she said.
A significant drop in demand is likely as much of the country hunkers down and practices social distancing to slow the spread of the virus, Dziczek said, because of the discretionary nature of new-vehicle purchases. Even after the crisis passes, the auto industry may be slower to recover because vehicles cost more than other purchases consumers are likely to delay.
Forecasters already are projecting that auto sales will drop significantly. Morgan Stanley expects the coronavirus outbreak to send U.S. sales down 9 percent this year, it said in an investor note last week.
Before the outbreak, analysts had expected a modest decline of 1 percent to 2 percent in 2020.
LMC Automotive cut its U.S. forecast by nearly 300,000 vehicles to 16.5 million, a 3 percent drop from 2019.