Tauheed Mian

Verified

Tauheed verified their affiliation via an institutional email.

Learn more

Verified

Tauheed verified their affiliation via an institutional email.

Learn more

• Postdoctoral fellow
• Postdoctoral Fellow at KU Leuven

The occurrence of multi-faults is more critical as compared to single faults, and it creates unfavourable working conditions. The number of contact-based sensors and their placement plays a crucial role in diagnosing the multi-faults. The use of non-contact-based acoustic sensors could be a cost-effective potential solution to this problem. In this...

A rotating machine consists of many components, and the bearing is one of the key components in it. The health condition of the bearing directly affects the safe operation of the rotating machine and also inhibits the catastrophic loss to other components. To receive high-quality goods and services from these machines, their proper functioning requ...

Electric Vehicles (EVs) are extremely efficient and produce zero emissions which is a better alternative than conventional IC engine vehicles. The electric motor is the heart of every EV and is the key to realizing the optimum balance of top speed, acceleration, deceleration, and achievable distance per charge. In such conditions, the continuous mo...

The Induction Motor (IM) is one of the most frequently used prime movers in most industrial and transportation systems. The motor's stable and safe operation directly influences the secure and reliable operation of such prime movers. Developing an intelligent fault diagnosis system for such motors is very significant. This paper presents an intelli...

Rotating machines frequently undergo various faults causing increased maintenance and operation costs. To minimize these costs, effective and intelligent methods are thus required. Different sensor modalities reflecting various faults should continuously be monitored and interpreted to enable these methods. In this work, two sensor modalities, Infr...

Electric Vehicles (EVs) have grown in universality in recent years due to their specific advantages such as zero emissions, low noise, and remarkable efficiency. Moreover, these vehicles, especially two-wheelers becoming an integrated part of the present transport system, and their safe operation must be considered for a successful run under practi...

Gears are crucial part of rotating machines and are used to transfer the motion as increased or decreased form. The faults in the gears could cause significant losses in these machines. So, there is a continuous need for an intelligent fault detection method that can detect these faults at the early stage. In this work, a sound signal-based early f...

Steel is the most commonly employed material in various engineering applications, and their successful machining demands finding the optimized set of machining parameters along with appropriate cooling strategies. Moreover, the significance of process parameter optimization is progressively perceived in the wake of expensive CNC machine adaptation...

The occurrence of multiple faults is a practical problem in the bearings of rotating machines, and early diagnosis of such issues in an intelligent manner is vital in the era of industry 4.0. The present work investigated various combinations of bearing faults, including dual and multiple fault conditions. Two prevalent fault diagnosis methods were...

The perception of sound quality is an important source of information and can be used as a promising indicator to diagnose various faults in rotating machines. This work presented a methodology involving the detection of bearing faults using sound quality metrics. Head and Torso Simulator (HATS) was used to acquire the sound signals of different be...

Bearing is one of the core components of any rotating machine, and its failure is widespread. This reason drives continuous monitoring and detecting bearing faults during machine operation to warn operators and prevent unforeseen damage. This paper proposes an intelligent Passive Thermography (PTG) based fault diagnosis technique for detection of b...

Fault diagnosis in rotating machines plays a vital role in various industries. Bearing is the essential element of rotating machines, and early fault detection can reduce the maintenance cost and enhance machine availability. In complex industrial machinery, a single sensor has a limitation to capture complete information about fault conditions. He...

Heat generation during machining is an important factor for the surface of machined component as well as the life of cutting tool. Cutting fluid plays an important role in this regard. Proper cutting fluid ensures better surface finish and longer tool life. In the present research work we have used two types of cutting fluids i.e. Conventional Al2O...

Flexible Manufacturing systems have been an integral part of the modern manufacturing system. With increase in complexity of the flexible manufacturing system, there need to analyze and design/redesign a manufacturing system. This research paper provides a frame work towards improvement in the performance of a system by the analyzing the operation...

Role of cutting fluid in machining is quite significant but the methods used for their applications add cost to the machining. This issue can be resolved by using near dry machining approach that includes usage of minimum amount of cutting fluid with highly pressurized air. In the present work, near dry machining approach has been adopted during tu...

In the present era, the use of laptop-computer becomes an inseparable part of human life. This throws a challenge to the designers of the computer that the device may be designed keeping in mind the human capability. The human-computer interaction is generally done through pointing devices such as a mouse, touchpad, joystick, etc. Hence, they shoul...

The Bearings are the crucial components of rotating machines in an industrial firm. Unplanned failure of these components not only increases the downtime, but also leads to production loss. This paper presents a non-invasive thermal image-based method for bearing fault diagnosis in rotating machines. Thermal images of rolling-element bearing in six...

In the present era of competitive market scenario manufacturing units are under high pressure to improve the performance of their manufacturing system. For that the flexibility concept is highly appreciated. In this paper we have considered a manufacturing system consisting of five CNC machines producing eight types of part with different part mix....